Triple
T19962148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANOC |
E479841
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | ANOC |
—
|
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: ANOC | Statement: [ANOC, acronym, ANOC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANOC Context triple: [ANOC, acronym, ANOC]
-
A.
ANOC
chosen
ANOC is the global organization that represents and supports the world’s National Olympic Committees within the Olympic Movement.
-
B.
ANOC Awards
The ANOC Awards are an annual ceremony organized by the Association of National Olympic Committees to honor outstanding achievements and contributions in Olympic sports.
-
C.
ANOC World Beach Games
The ANOC World Beach Games is an international multi-sport event featuring beach, water, and action sports, bringing together athletes from around the world in a festival-style coastal setting.
-
D.
ANO
ANO is the ICAO airline designator assigned to Airnorth, a regional airline based in Australia.
-
E.
OACA
OACA is the Tunisian civil aviation and airports authority responsible for regulating air transport and managing the country’s main airports.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af51b4c81909ba156a489cbc551 |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.