Triple
T7518154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marne-la-Vallée–Chessy station |
E177697
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Chessy, Seine-et-Marne |
E670602
|
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: Chessy, Seine-et-Marne | Statement: [Marne-la-Vallée–Chessy station, locatedIn, Chessy, Seine-et-Marne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chessy, Seine-et-Marne Context triple: [Marne-la-Vallée–Chessy station, locatedIn, Chessy, Seine-et-Marne]
-
A.
Chessy, Seine-et-Marne
chosen
Chessy, Seine-et-Marne is a French commune in the eastern suburbs of Paris best known for hosting much of the Disneyland Paris resort area.
-
B.
Chessy, France
Chessy, France is a commune in the eastern suburbs of Paris best known as part of the Disneyland Paris resort area.
-
C.
Choisy-le-Roi
Choisy-le-Roi is a suburban commune in the southeastern outskirts of Paris, France, situated along the River Seine in the Val-de-Marne department.
-
D.
Chevry
Chevry is a small French commune located in eastern France within the Ain department, near the Swiss border and the city of Geneva.
-
E.
Grigny
Grigny is a suburban commune in the southern outskirts of Paris, France, known for its large housing estates and diverse population.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f850c081909e697219071293fc |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861438bb08190a5254ed7f28aec32 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:46 p.m.