Triple
T9488290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fresnes |
E228817
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Fresnois |
E1777
|
NE 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: Fresnois | Statement: [Fresnes, hasDemonym, Fresnois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fresnois Context triple: [Fresnes, hasDemonym, Fresnois]
-
A.
Parlier
Parlier is a small agricultural city in California’s San Joaquin Valley, known for its large farmworker community and fruit production.
-
B.
Fresno
chosen
Fresno is a major agricultural and economic center in California’s San Joaquin Valley, known for its role in the state’s farming industry and its diverse urban population.
-
C.
Lodi
Lodi is a city in California’s Central Valley known for its extensive wine grape production and growing reputation as a major wine region.
-
D.
Lodi
Lodi is a city in northern Italy’s Lombardy region, known for its historic center, Renaissance architecture, and role as a regional commercial and cultural hub.
-
E.
Gilroy
Gilroy is a Scottish surname and sept historically associated with Clan Grant in the Scottish Highlands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c443b88190968d2092a73e1ee4 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d18fd908190b562fa0a8dad7c63 |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:55 p.m.