Triple
T1751359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Federation of Labor |
E38449
|
entity |
| Predicate | unionType |
P5552
|
FINISHED |
| Object | federation of national and international unions |
—
|
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: federation of national and international unions | Statement: [American Federation of Labor, unionType, federation of national and international unions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unionType Context triple: [American Federation of Labor, unionType, federation of national and international unions]
-
A.
union
Indicates that two or more sets are combined into a single set containing all elements that belong to at least one of them.
-
B.
typeOfUnion
chosen
Indicates the specific kind or category of union relationship that exists between the related entities.
-
C.
formedByUnionOf
Indicates that something is created or defined as the union or combination of multiple other things.
-
D.
inUnionFlagRepresents
Indicates that one entity is represented or symbolized by its inclusion on the union flag of another entity.
-
E.
associatedUnitType
Indicates that one entity is linked to or characterized by a particular type or category of unit.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.