Triple
T13856448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nozay |
E333077
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Montlhéry |
E333079
|
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: Montlhéry | Statement: [Nozay, locatedNear, Montlhéry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montlhéry Context triple: [Nozay, locatedNear, Montlhéry]
-
A.
Montlhéry
chosen
Montlhéry is a commune in northern France best known for its historic motor racing circuit, the Autodrome de Linas-Montlhéry.
-
B.
Arques
Arques is a river in northern France that flows through the Normandy region and reaches the English Channel at the port city of Dieppe.
-
C.
Le Mans
Le Mans is a historic city in northwestern France best known for its annual 24 Hours of Le Mans endurance sports car race.
-
D.
Villiers-le-Sec
Villiers-le-Sec is a small French commune located in the Calvados department of the Normandy region in northwestern France.
-
E.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0fb7c3c819081fc6f89aa17d6af |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.