Triple
T9082800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château-Neuf |
E217674
|
entity |
| Predicate | hasNameInFrench |
P6538
|
FINISHED |
| Object | Château-Neuf |
E217674
|
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: Château-Neuf | Statement: [Château-Neuf, hasNameInFrench, Château-Neuf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Château-Neuf Context triple: [Château-Neuf, hasNameInFrench, Château-Neuf]
-
A.
Château-Neuf
chosen
Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
-
B.
Château-Vieux
Château-Vieux is a historic medieval fortress in Bayonne, France, notable for its long military and architectural heritage.
-
C.
Château-Gontier
Château-Gontier is a historic town in western France, known for its medieval architecture and picturesque setting along the Mayenne River.
-
D.
Château-Lambert
Château-Lambert is a small village in eastern France known for its picturesque Vosges mountain setting and open-air museum showcasing traditional rural life and forestry.
-
E.
Châteaurenard
Châteaurenard is a commune in southern France known for its agricultural production and Provençal heritage, located near Avignon in the Bouches-du-Rhône department.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960a2760819084aab611eb1c43a9 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02ffa9fb88190ab088be46b566ae8 |
completed | April 3, 2026, 9:24 p.m. |
Created at: March 30, 2026, 7:13 p.m.