Triple
T16430513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GEOS-IT |
E399059
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | GEOS-FP |
E399058
|
NE FINISHED |
How this triple was built (2 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: GEOS-FP | Statement: [GEOS-IT, relatedTo, GEOS-FP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEOS-FP Context triple: [GEOS-IT, relatedTo, GEOS-FP]
-
A.
GEOS-FP
chosen
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.
-
B.
GEOS
GEOS is an open-source C++ geometry engine library that provides spatial operations and topological functions for geographic information systems and related applications.
-
C.
e-GEOS
e-GEOS is an Italian geospatial services company specializing in Earth observation, satellite imagery, and related data analytics solutions.
-
D.
GEOS-IT
GEOS-IT is a specific version of NASA’s Goddard Earth Observing System model designed for advanced atmospheric and Earth system simulations.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fe0f488190ac34aa677c980a20 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004584fa508190a85b1f79ecf9c258 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.