Triple
T20295207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Dürkheim |
E505328
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Paray-le-Monial |
—
|
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: Paray-le-Monial | Statement: [Bad Dürkheim, hasTwinTown, Paray-le-Monial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paray-le-Monial Context triple: [Bad Dürkheim, hasTwinTown, Paray-le-Monial]
-
A.
Paray-le-Monial
chosen
Paray-le-Monial is a historic town in eastern France renowned for its Romanesque basilica and its role as a major Catholic pilgrimage site.
-
B.
Buais-les-Monts
Buais-les-Monts is a rural commune in the Manche department of northwestern France, known for its agricultural landscape and small-village character.
-
C.
Montcresson
Montcresson is a commune in north-central France, located in the Loiret department of the Centre-Val de Loire region.
-
D.
Mourenx
Mourenx is a commune in southwestern France’s Pyrénées-Atlantiques department, developed in the mid-20th century as a planned industrial town linked to nearby natural gas fields.
-
E.
Le Monêtier-les-Bains
Le Monêtier-les-Bains is a French Alpine village in the Hautes-Alpes department, known for its thermal baths and as part of the Serre Chevalier ski area.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770714c4819080e3256325747ebf |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:15 a.m.