Triple
T19029628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roquefort-sur-Soulzon |
E465699
|
entity |
| Predicate | regionEconomyDominatedBy |
P86518
|
FINISHED |
| Object | Roquefort cheese industry |
—
|
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: Roquefort cheese industry | Statement: [Roquefort-sur-Soulzon, regionEconomyDominatedBy, Roquefort cheese industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionEconomyDominatedBy Context triple: [Roquefort-sur-Soulzon, regionEconomyDominatedBy, Roquefort cheese industry]
-
A.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
B.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
-
C.
economicSectorDominant
chosen
Indicates that one economic sector holds a leading or controlling position relative to others in terms of influence, output, or importance.
-
D.
economicArea
Indicates that one entity is part of, associated with, or falls under the jurisdiction of a defined economic region or zone of another entity.
-
E.
regionalEconomyActivity
Indicates the type or level of economic activity occurring within a specific geographic region.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73f98dc81909acbb366f00d2d54 |
completed | April 20, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.