Triple
T19856210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Mortainais |
E477138
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object | Le Teilleul |
—
|
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: Le Teilleul | Statement: [Le Mortainais, containsAdministrativeTerritorialEntity, Le Teilleul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Teilleul Context triple: [Le Mortainais, containsAdministrativeTerritorialEntity, Le Teilleul]
-
A.
Le Teilleul
chosen
Le Teilleul is a commune in the Manche department of northwestern France, known for its rural character within the Normandy region.
-
B.
Le Brévent
Le Brévent is a popular mountain and viewpoint above Chamonix in the French Alps, known for its panoramic vistas of Mont Blanc and easy access via cable car.
-
C.
Le Falgoux
Le Falgoux is a small rural commune in the Cantal department of south-central France, nestled in the Auvergne volcanic mountains.
-
D.
La Cézille
La Cézille is a small locality within the Swiss municipality of Saint-Cergue in the canton of Vaud.
-
E.
La Chênaie
La Chênaie is a residential neighborhood within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586c14fc81908d34785f1088b0a9 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.