Triple
T9994041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Federation of Teachers |
E196954
|
entity |
| Predicate | unionClassification |
P91473
|
FINISHED |
| Object | public sector union |
—
|
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: public sector union | Statement: [American Federation of Teachers, unionClassification, public sector union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unionClassification Context triple: [American Federation of Teachers, unionClassification, public sector union]
-
A.
unionRepresents
Indicates that one entity serves as the official representative or acting body on behalf of a union in relation to another entity or context.
-
B.
nationalFederationAffiliation
Indicates that one organization is formally affiliated with, or a member of, a specified national federation.
-
C.
union
Indicates that two or more sets are combined into a single set containing all elements that belong to at least one of them.
-
D.
unionStrength
Indicates the degree of solidarity, cohesion, or collective power within or among unions or union members.
-
E.
clubOrNational
Indicates that the relationship or action involves either a club team or a national team, distinguishing between those two types of affiliations.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb982d5c81909779c6e9d780b399 |
completed | April 2, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:50 p.m.