Triple
T16329508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeMS |
E396511
|
entity |
| Predicate | pairedWith |
P3159
|
FINISHED |
| Object | GSAOI |
E87224
|
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: GSAOI | Statement: [GeMS, pairedWith, GSAOI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSAOI Context triple: [GeMS, pairedWith, GSAOI]
-
A.
GSO
GSO is a regional standards body that develops and harmonizes technical regulations and standards for the Gulf Cooperation Council member states.
-
B.
GSO
GSO is the three-letter FAA airport code for Piedmont Triad International Airport serving the Greensboro, North Carolina area.
-
C.
GSAOI (Gemini South Adaptive Optics Imager)
chosen
GSAOI (Gemini South Adaptive Optics Imager) is a high-resolution near-infrared camera designed to work with adaptive optics on the Gemini South telescope, enabling extremely sharp imaging by correcting for atmospheric distortion.
-
D.
GSA
GSA is the commonly used abbreviation for the Golden Spikes Award, an annual honor recognizing the top amateur baseball player in the United States.
-
E.
GSA
GSA is a U.S. federal agency that manages government buildings, supplies, and procurement services for other federal agencies.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4ddc5608190b24fe2e871691470 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261134108190812da262b424a476 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.