Triple
T26749705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uniformed Firefighters Association |
E674499
|
entity |
| Predicate | representsEmployeeType |
P108030
|
FINISHED |
| Object | uniformed firefighters |
—
|
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: uniformed firefighters | Statement: [Uniformed Firefighters Association, representsEmployeeType, uniformed firefighters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsEmployeeType Context triple: [Uniformed Firefighters Association, representsEmployeeType, uniformed firefighters]
-
A.
representedEmployeeType
chosen
Indicates that one entity serves as a representative or exemplar of a particular type or category of employee for another entity.
-
B.
representsInOrganizationType
Indicates that an entity serves as a representative or acts on behalf of another entity within a specific type or category of organization.
-
C.
representsCompanyType
Indicates that an entity is associated with or classified under a specific type or category of company.
-
D.
employerRepresentative
Indicates that one entity acts on behalf of, or represents, an employer in an official or work-related capacity.
-
E.
personnelType
Indicates the classification or role category assigned to a person within an organization or system.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 27, 2026, 3:53 a.m.