Triple
T8970361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montmorency |
E214248
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Deuil-la-Barre |
E201955
|
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: Deuil-la-Barre | Statement: [Montmorency, locatedNear, Deuil-la-Barre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deuil-la-Barre Context triple: [Montmorency, locatedNear, Deuil-la-Barre]
-
A.
Deuil-la-Barre
chosen
Deuil-la-Barre is a suburban commune in the northern outskirts of Paris, France, known for its residential character and proximity to Montmorency.
-
B.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
-
C.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
D.
Rouvres
Rouvres is a small French commune located in the Île-de-France region in north-central France.
-
E.
Marcq-en-Barœul
Marcq-en-Barœul is a suburban commune in northern France known for its residential character, green spaces, and proximity to the city of Lille.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67672c108190919ae6ca69b6291f |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0aba020819088bc6d7a461bbcdb |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:02 p.m.