Triple
T19442757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Federation of Miners |
E486391
|
entity |
| Predicate | represented occupational group |
P69705
|
FINISHED |
| Object | hard-rock miners |
—
|
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: hard-rock miners | Statement: [Western Federation of Miners, represented occupational group, hard-rock miners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: represented occupational group Context triple: [Western Federation of Miners, represented occupational group, hard-rock miners]
-
A.
representedOccupation
Indicates that one entity has served as an official or formal representative of another entity’s occupation or professional role.
-
B.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
-
C.
representedGroups
chosen
Indicates that an entity serves as an official or recognized representative for one or more groups.
-
D.
ledByOccupation
Indicates that an entity is directed or governed by someone holding a specific occupation or professional role.
-
E.
representedEmployeeType
Indicates that one entity serves as a representative or exemplar of a particular type or category of employee for another entity.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63386c520819092bea5d7f259a226 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.