Triple
T5403230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teaching Regulation Agency |
E120829
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | TRA |
E120829
|
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: TRA | Statement: [Teaching Regulation Agency, abbreviation, TRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRA Context triple: [Teaching Regulation Agency, abbreviation, TRA]
-
A.
TRA
chosen
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
-
B.
TRA
TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
-
C.
TR
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
-
D.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
E.
TR
TR is the postcode area covering Truro and much of Cornwall in southwest England.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87731c1c81909a4dc865282bd289 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3388c10481908235da34ef509d37 |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.