Triple
T26573026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Mine Workers v. Pennington |
E666874
|
entity |
| Predicate | concernedActivity |
P167751
|
FINISHED |
| Object | collective bargaining over wage rates |
—
|
LITERAL 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: collective bargaining over wage rates | Statement: [United Mine Workers v. Pennington, concernedActivity, collective bargaining over wage rates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernedActivity Context triple: [United Mine Workers v. Pennington, concernedActivity, collective bargaining over wage rates]
-
A.
concernedEvent
Indicates that an entity has a concern, involvement, or relevance specifically with respect to a particular event.
-
B.
concernedSee
Indicates that one entity looks at or observes another with a sense of worry, care, or concern.
-
C.
subjectOfConcernFor
Indicates that one entity is regarded as a matter of worry, interest, or attention for another entity.
-
D.
concernedRite
Indicates that a rite, ritual, or ceremonial act is the focus or subject of concern, involvement, or relevance in the relationship.
-
E.
concernedCity
Indicates that a relationship, event, or fact specifically involves or pertains to a particular city.
- F. None of above. chosen
Provenance (4 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 27, 2026, 1:59 a.m.