Triple
T4970878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouergue |
E111644
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Belcastel |
E466524
|
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: Belcastel | Statement: [Rouergue, containsTown, Belcastel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belcastel Context triple: [Rouergue, containsTown, Belcastel]
-
A.
Belcastel
chosen
Belcastel is a picturesque medieval village in southern France, renowned for its stone houses, riverside setting, and restored hilltop castle.
-
B.
Castelroussin
Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
-
C.
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.
-
D.
Château de La Tour-de-Peilz
Château de La Tour-de-Peilz is a historic lakeside castle in the Swiss town of La Tour-de-Peilz, known today for housing the Swiss Museum of Games on the shores of Lake Geneva.
-
E.
La Sarraz Castle
La Sarraz Castle is a historic Swiss fortress and manor in the canton of Vaud, known for hosting significant cultural and artistic gatherings.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7213bf0081909b3c496f1804dc4c |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81fa9108819089a6258e3a88f0cb |
completed | March 21, 2026, 11:33 a.m. |
Created at: March 20, 2026, 1:33 p.m.