Triple
T19044633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Ussel |
E466098
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Monestier-Merlines |
—
|
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: Monestier-Merlines | Statement: [arrondissement of Ussel, contains, Monestier-Merlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monestier-Merlines Context triple: [arrondissement of Ussel, contains, Monestier-Merlines]
-
A.
Monestier-Merlines
chosen
Monestier-Merlines is a small commune in the Corrèze department of central France.
-
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.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
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.
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 (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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d803b2b08190b057d4b5bc555d4f |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:03 p.m.