Triple
T15829610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COSMO-SkyMed |
E383834
|
entity |
| Predicate | dataProvider |
P17306
|
FINISHED |
| Object |
e-GEOS
e-GEOS is an Italian geospatial services company specializing in Earth observation, satellite imagery, and related data analytics solutions.
|
E1178997
|
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: e-GEOS | Statement: [COSMO-SkyMed, dataProvider, e-GEOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: e-GEOS Context triple: [COSMO-SkyMed, dataProvider, e-GEOS]
-
A.
GEOS
GEOS is an open-source C++ geometry engine library that provides spatial operations and topological functions for geographic information systems and related applications.
-
B.
EGIS
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
-
C.
GEOS-IT
GEOS-IT is a specific version of NASA’s Goddard Earth Observing System model designed for advanced atmospheric and Earth system simulations.
-
D.
GEOC
GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
-
E.
GEOS-FP
GEOS-FP is a high-resolution, near-real-time atmospheric data assimilation and forecasting system produced by NASA’s Goddard Earth Observing System modeling framework.
- 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: e-GEOS Triple: [COSMO-SkyMed, dataProvider, e-GEOS]
Generated description
e-GEOS is an Italian geospatial services company specializing in Earth observation, satellite imagery, and related data analytics solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: e-GEOS Target entity description: e-GEOS is an Italian geospatial services company specializing in Earth observation, satellite imagery, and related data analytics solutions.
-
A.
GEOS
GEOS is an open-source C++ geometry engine library that provides spatial operations and topological functions for geographic information systems and related applications.
-
B.
EGIS
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
-
C.
GEOS-IT
GEOS-IT is a specific version of NASA’s Goddard Earth Observing System model designed for advanced atmospheric and Earth system simulations.
-
D.
GEOC
GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
-
E.
GEOS-FP
GEOS-FP is a high-resolution, near-real-time atmospheric data assimilation and forecasting system produced by NASA’s Goddard Earth Observing System modeling framework.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e62aba8819090978801f4df73fe |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999f9ccc8190bc859c2b78a16baf |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9bf7363c8190a65798028305b1da |
completed | May 9, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9c580d608190a7b3de11a924cba7 |
completed | May 9, 2026, 8:43 p.m. |
Created at: April 10, 2026, 4:49 a.m.