Triple
T12563836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tri-State Oversight Committee |
E295416
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | TOC |
E295416
|
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: TOC | Statement: [Tri-State Oversight Committee, abbreviation, TOC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOC Context triple: [Tri-State Oversight Committee, abbreviation, TOC]
-
A.
TOC
TOC (Talk to OSCAR) is a simplified, publicly documented protocol once used by AOL Instant Messenger clients to communicate with AOL’s messaging servers.
-
B.
TOC
chosen
TOC is the abbreviation for the Tri-State Oversight Committee, an intergovernmental body that oversees safety and regulatory compliance for certain regional transit systems.
-
C.
CTOC
CTOC is the abbreviation commonly used for the Chinese Taipei Olympic Committee, the organization responsible for overseeing Olympic sports and athletes representing Chinese Taipei.
-
D.
TO
TO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Kingdom of Tonga.
-
E.
TO
TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558da7e0819086860bfaf394e2d8 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:49 p.m.