Triple
T4970875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouergue |
E111644
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Conques |
E465700
|
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: Conques | Statement: [Rouergue, containsTown, Conques]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conques Context triple: [Rouergue, containsTown, Conques]
-
A.
Conques
chosen
Conques is a picturesque medieval village in southern France renowned for its Romanesque abbey church of Sainte-Foy and its role as a major stop on the Camino de Santiago pilgrimage route.
-
B.
Roquemaure
Roquemaure is a historic wine-producing commune in southern France, situated on the right bank of the Rhône River opposite the Châteauneuf-du-Pape area.
-
C.
Moissac
Moissac is a historic town in southern France renowned for its Romanesque abbey and cloister, which are listed as a UNESCO World Heritage Site.
-
D.
Manosque
Manosque is a historic town in southeastern France’s Provence region, known for its medieval old town, surrounding lavender fields, and proximity to the Luberon mountains.
-
E.
Caudéran
Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
- 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.