Triple
T21013104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Teachers Los Angeles |
E517600
|
entity |
| Predicate | unionRole |
P142480
|
FINISHED |
| Object | collective bargaining representative for Los Angeles teachers |
—
|
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 representative for Los Angeles teachers | Statement: [United Teachers Los Angeles, unionRole, collective bargaining representative for Los Angeles teachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unionRole Context triple: [United Teachers Los Angeles, unionRole, collective bargaining representative for Los Angeles teachers]
-
A.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
-
B.
unionEntry
Indicates that an entity is a member or participant in a specific union or collective organization.
-
C.
memberUnion
Indicates that an entity is a member (part of) a specified union or collective group.
-
D.
allianceRole
Indicates the specific function, status, or responsibility an entity holds within an alliance or cooperative partnership.
-
E.
unionForm
Indicates that an entity is a form, document, or process used to establish, join, or manage membership in a union or union-related organization.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc41d57881908b9ab17d1844a8d0 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.