Triple
T33082091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Gueugnon |
E846533
|
entity |
| Predicate | associatedIndustryHistorically |
—
|
GENERATED |
| Object | steel industry |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedIndustryHistorically Context triple: [FC Gueugnon, associatedIndustryHistorically, steel industry]
-
A.
hasHistoricIndustry
chosen
Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
-
B.
formerKeyIndustry
Indicates that an entity was once a primary or strategically important industry for another entity but no longer holds that status.
-
C.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
D.
historicallyIndicates
Indicates that one entity serves as evidence, a sign, or a marker of another entity specifically within a historical context or time period.
-
E.
foundingIndustry
Indicates the industry or sector in which an entity was originally founded or began its primary operations.
- F. None of above.
Provenance (1 batch)
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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:26 a.m.