Triple
T15209354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Tigers |
E363473
|
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: [Golden Tigers, abbreviation, SIAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIAC Context triple: [Golden Tigers, 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.
SIAA
SIAA is the acronym for the Southern Intercollegiate Athletic Association, a historic college athletic conference that operated in the southern United States.
-
E.
SIAEC
SIAEC is a Singapore-based aircraft maintenance, repair, and overhaul (MRO) company that provides engineering and technical services to airlines worldwide.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076ad4ec81908d36f541fca08d72 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33f9abc8190bf8166c1fd9fcac6 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.