Triple
T36247286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Farm Labor Union |
E891698
|
entity |
| Predicate | mainlyRepresents |
P184803
|
FINISHED |
| Object | agricultural workers |
—
|
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: agricultural workers | Statement: [National Farm Labor Union, mainlyRepresents, agricultural workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainlyRepresents Context triple: [National Farm Labor Union, mainlyRepresents, agricultural workers]
-
A.
primarilyRepresentedBy
Indicates that one entity serves as the main or most characteristic representation or depiction of another entity.
-
B.
hasMainRepresentative
Indicates that one entity serves as the primary or official representative of another entity.
-
C.
hasMainRepresentation
Indicates that one entity serves as the primary or canonical representation of another entity.
-
D.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
E.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
- 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5f89c5c8190825ed5d4317c540c |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b57aa0848190a22c31c3ff90e0ab |
completed | May 3, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:09 p.m.