Triple
T33423531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas City Assembly |
E855905
|
entity |
| Predicate | hasEmployerUnionPresence |
P21008
|
FINISHED |
| Object | United Auto Workers (UAW) |
—
|
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: United Auto Workers (UAW) | Statement: [Kansas City Assembly, hasEmployerUnionPresence, United Auto Workers (UAW)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmployerUnionPresence Context triple: [Kansas City Assembly, hasEmployerUnionPresence, United Auto Workers (UAW)]
-
A.
hasTradeUnionWing
Indicates that an organization has an affiliated trade union branch or division that represents workers’ interests.
-
B.
associatedWithTradeUnions
chosen
Indicates that there is a relationship of involvement, connection, or affiliation between an entity and one or more trade unions.
-
C.
hasIndustrialEmployer
Indicates that an entity is employed by, or has an employment relationship with, an industrial organization or company.
-
D.
hasStudentUnionStatus
Indicates that an entity holds a recognized status or designation related to a student union.
-
E.
laborUnion
Indicates that an entity is a labor union representing workers in collective employment-related matters.
- F. None of above.
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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:36 a.m.