Triple
T21151027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poitou |
E521187
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Parthenay |
—
|
NE NERFINISHED |
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: Parthenay | Statement: [Poitou, majorCity, Parthenay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parthenay Context triple: [Poitou, majorCity, Parthenay]
-
A.
Parthenay
chosen
Parthenay is a historic fortified town in western France known for its medieval architecture and role as a regional center in the former province of Poitou.
-
B.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
C.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
D.
Rochechouart
Rochechouart is a small historic town in west-central France known for its medieval château and proximity to the Rochechouart impact crater site.
-
E.
Peyrat-le-Château
Peyrat-le-Château is a rural commune in the Haute-Vienne department of west-central France, known for its scenic lakes and forests in the Limousin region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72401830c8190a2008c40c4174d97 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.