Triple
T13852329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitry–Claye |
E332974
|
entity |
| Predicate | connectsMunicipality |
P4245
|
FINISHED |
| Object | Claye-Souilly |
E332677
|
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: Claye-Souilly | Statement: [Mitry–Claye, connectsMunicipality, Claye-Souilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claye-Souilly Context triple: [Mitry–Claye, connectsMunicipality, Claye-Souilly]
-
A.
Claye-Souilly
chosen
Claye-Souilly is a commune in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
B.
Tournan
Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
-
C.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
D.
Saintry-sur-Seine
Saintry-sur-Seine is a small commune in the Essonne department of the Île-de-France region in northern France, situated along the Seine River.
-
E.
Celles-sur-Durolle
Celles-sur-Durolle is a commune in central France’s Puy-de-Dôme department, known historically for its cutlery and metalworking industries along the Durolle River.
- 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_69de02da9460819093a3ec5a3c62ea81 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce6c0c3c8190911b56b20c9eb955 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:14 p.m.