Triple
T18489634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summit Implementation Review Group |
E451784
|
entity |
| Predicate | acronymOf |
P8733
|
FINISHED |
| Object | SIRG |
—
|
NE NERFINISHED |
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: SIRG | Statement: [Summit Implementation Review Group, acronymOf, SIRG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIRG Context triple: [Summit Implementation Review Group, acronymOf, SIRG]
-
A.
SIRG
chosen
SIRG is the commonly used acronym for the Summit Implementation Review Group, a body that monitors and evaluates the execution of commitments made at hemispheric summits.
-
B.
SiR
SiR is an American R&B singer, songwriter, and producer known for his smooth, soulful sound and work with Top Dawg Entertainment.
-
C.
SIR-B
SIR-B is a spaceborne synthetic aperture radar instrument flown on NASA's Space Shuttle to conduct Earth observation and remote sensing experiments.
-
D.
SIR
SIR is a professional medical society representing physicians who specialize in minimally invasive, image-guided interventional radiology procedures.
-
E.
SIR
SIR is the IATA airport code for Sion Airport, a regional airport serving the town of Sion in the Swiss canton of Valais.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d9d75081908e81fbccf6896bbc |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.