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.