Triple
T15519808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | du Puy |
E368930
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Du Puy |
E368930
|
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: Du Puy | Statement: [du Puy, hasVariant, Du Puy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Du Puy Context triple: [du Puy, hasVariant, Du Puy]
-
A.
du Puy
chosen
du Puy is a French-origin surname historically associated with figures such as Maud du Puy, wife of the 12th-century English noble William Marshal.
-
B.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
-
C.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
D.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
E.
Montfavet
Montfavet is a district of Avignon in southeastern France, known in part for its psychiatric hospital where sculptor Camille Claudel spent her final years and died.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e040343d9c8190a7d1f197c108bd9d |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d52cf1c8190b18bff0b925355a3 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:04 a.m.