Triple
T35749079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duclair |
E1033266
|
entity |
| Predicate | hasLocalEconomyElement |
P154638
|
FINISHED |
| Object | restaurants specializing in duck dishes |
—
|
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: restaurants specializing in duck dishes | Statement: [Duclair, hasLocalEconomyElement, restaurants specializing in duck dishes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalEconomyElement Context triple: [Duclair, hasLocalEconomyElement, restaurants specializing in duck dishes]
-
A.
partOfLocalEconomy
chosen
Indicates that an entity contributes to, participates in, or is integrated within the economic activities of a specific local area or community.
-
B.
localEconomyImpact
Indicates the effect that an action, event, or entity has on the economic conditions, activities, or performance of a specific local area or community.
-
C.
hasEconomyCharacteristic
Indicates that an economy possesses a particular attribute, feature, or quality.
-
D.
hasNearbyEconomicRegion
Indicates that one economic region is geographically close to or adjacent to another economic region.
-
E.
isEconomicCenter
Indicates that an entity functions as a primary hub for economic activity, such as trade, finance, or industry, within a region 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.