Triple
T6176600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMUK |
E137834
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | TMUK |
E137834
|
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: TMUK | Statement: [TMUK, abbreviation, TMUK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMUK Context triple: [TMUK, abbreviation, TMUK]
-
A.
TMUK
chosen
TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
-
B.
TUC
TUC is the main national federation of trade unions in England and Wales, representing millions of workers and coordinating union activities and campaigns.
-
C.
TUC
TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
-
D.
TCMU
TCMU is a large, interactive children’s museum in South Carolina focused on hands-on educational exhibits and family learning experiences.
-
E.
TUW
TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc87bc48190834042d9c41d5b86 |
completed | March 22, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141b69c348190a4e530b7380b643f |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:18 p.m.