Triple
T27231835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lab |
E682173
|
entity |
| Predicate | hasTradeUnionLinks |
P21008
|
FINISHED |
| Object | Irish trade union movement |
—
|
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: Irish trade union movement | Statement: [Lab, hasTradeUnionLinks, Irish trade union movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTradeUnionLinks Context triple: [Lab, hasTradeUnionLinks, Irish trade union movement]
-
A.
associatedWithTradeUnions
chosen
Indicates that there is a relationship of involvement, connection, or affiliation between an entity and one or more trade unions.
-
B.
hasTradeUnionWing
Indicates that an organization has an affiliated trade union branch or division that represents workers’ interests.
-
C.
controlledTradeUnions
Indicates that one party exercises authority or influence over trade unions, directing or constraining their activities or decisions.
-
D.
wasTradeUnionLeaderIn
Indicates that a person held a leadership position in a specific trade union during a particular time or context.
-
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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 27, 2026, 9:46 a.m.