Triple
T17178872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Spaceborne Thermal Emission and Reflection Radiometer |
E416928
|
entity |
| Predicate | dataProduct |
P3585
|
FINISHED |
| Object |
ASTER Global Digital Elevation Model
ASTER Global Digital Elevation Model is a high-resolution, worldwide digital elevation dataset derived from stereo imagery collected by the ASTER instrument aboard NASA’s Terra satellite.
|
E1254306
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ASTER Global Digital Elevation Model | Statement: [Advanced Spaceborne Thermal Emission and Reflection Radiometer, dataProduct, ASTER Global Digital Elevation Model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASTER Global Digital Elevation Model Context triple: [Advanced Spaceborne Thermal Emission and Reflection Radiometer, dataProduct, ASTER Global Digital Elevation Model]
-
A.
SRTM
SRTM (Shuttle Radar Topography Mission) was a Space Shuttle Endeavour mission that used radar interferometry to create one of the most detailed near-global digital elevation models of Earth’s land surface.
-
B.
National Elevation Dataset
The National Elevation Dataset is a comprehensive digital elevation model of the United States that provides detailed topographic information for mapping, analysis, and geospatial applications.
-
C.
Global 30 Project
The Global 30 Project was a Japanese government initiative aimed at promoting the internationalization of selected universities by expanding English-taught degree programs and attracting more international students.
-
D.
MCD-5
MCD-5 is a planned line of the Moscow Central Diameters commuter rail system intended to provide cross-city rail connectivity across Moscow and its surrounding region.
-
E.
Forest Global Earth Observatory
Forest Global Earth Observatory is an international research network that monitors long-term dynamics of forest ecosystems across the globe to understand biodiversity, climate impacts, and forest health.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ASTER Global Digital Elevation Model Triple: [Advanced Spaceborne Thermal Emission and Reflection Radiometer, dataProduct, ASTER Global Digital Elevation Model]
Generated description
ASTER Global Digital Elevation Model is a high-resolution, worldwide digital elevation dataset derived from stereo imagery collected by the ASTER instrument aboard NASA’s Terra satellite.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASTER Global Digital Elevation Model Target entity description: ASTER Global Digital Elevation Model is a high-resolution, worldwide digital elevation dataset derived from stereo imagery collected by the ASTER instrument aboard NASA’s Terra satellite.
-
A.
SRTM
SRTM (Shuttle Radar Topography Mission) was a Space Shuttle Endeavour mission that used radar interferometry to create one of the most detailed near-global digital elevation models of Earth’s land surface.
-
B.
National Elevation Dataset
The National Elevation Dataset is a comprehensive digital elevation model of the United States that provides detailed topographic information for mapping, analysis, and geospatial applications.
-
C.
Global 30 Project
The Global 30 Project was a Japanese government initiative aimed at promoting the internationalization of selected universities by expanding English-taught degree programs and attracting more international students.
-
D.
MCD-5
MCD-5 is a planned line of the Moscow Central Diameters commuter rail system intended to provide cross-city rail connectivity across Moscow and its surrounding region.
-
E.
Forest Global Earth Observatory
Forest Global Earth Observatory is an international research network that monitors long-term dynamics of forest ecosystems across the globe to understand biodiversity, climate impacts, and forest health.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0f9a288190b0ddfb673bd8e84b |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148455afc8190931ba1316705ae0c |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014a2f8fec8190b1303967a76ceb63 |
completed | May 11, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014ab0be388190a6ce49cff469fe81 |
completed | May 11, 2026, 3:19 a.m. |
Created at: April 10, 2026, 5:37 a.m.