Triple
T6824815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIAC |
E156987
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SIAC |
E156987
|
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: SIAC | Statement: [SIAC, abbreviation, SIAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIAC Context triple: [SIAC, abbreviation, SIAC]
-
A.
SIAC
chosen
SIAC is a collegiate athletic conference in the United States composed primarily of historically Black colleges and universities competing in NCAA Division II sports.
-
B.
SCIAC
SCIAC is an NCAA Division III athletic conference composed of small private colleges and universities in Southern California.
-
C.
SICA
SICA is a regional organization that promotes political, economic, and social integration among Central American countries.
-
D.
SIA
SIA is the National Rail station code for Southend Airport railway station in Essex, England.
-
E.
SIA
SIA is the ICAO airline designator used to identify Singapore Airlines in international aviation operations and communications.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d581ea5881908ba78c6bf1ce58ee |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723ee0e94819095a678e1073869d5 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:18 p.m.