Triple
T24042373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brasserie de Schiltigheim |
E595418
|
entity |
| Predicate | partOfLocalEconomy |
P154638
|
FINISHED |
| Object | Schiltigheim brewing cluster |
—
|
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: Schiltigheim brewing cluster | Statement: [Brasserie de Schiltigheim, partOfLocalEconomy, Schiltigheim brewing cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfLocalEconomy Context triple: [Brasserie de Schiltigheim, partOfLocalEconomy, Schiltigheim brewing cluster]
-
A.
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.
-
B.
regionalEconomyActivity
Indicates the type or level of economic activity occurring within a specific geographic region.
-
C.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
D.
economicExtensionOf
Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
-
E.
nearbyEconomicActivity
Indicates that there is economic activity occurring in close physical proximity to the referenced entity.
- F. None of above. chosen
Provenance (4 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8da38548190b2cc04ce7960ef9c |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:58 p.m.