Triple
T8664221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orry-la-Ville–Coye |
E205624
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Orry-la-Ville |
E205624
|
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: Orry-la-Ville | Statement: [Orry-la-Ville–Coye, serves, Orry-la-Ville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orry-la-Ville Context triple: [Orry-la-Ville–Coye, serves, Orry-la-Ville]
-
A.
Orry-la-Ville–Coye
chosen
Orry-la-Ville–Coye is a railway station in northern France that serves the communes of Orry-la-Ville and Coye-la-Forêt and connects them to the Paris regional rail network.
-
B.
Bressuire
Bressuire is a historic town in western France known for its medieval castle and role as an administrative center in the Deux-Sèvres department.
-
C.
Villiers-sur-Orge
Villiers-sur-Orge is a small suburban commune in the Essonne department of the Île-de-France region in northern France.
-
D.
Arnouville
Arnouville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
E.
Morsang-sur-Orge
Morsang-sur-Orge is a suburban commune in the southern outskirts of Paris, located in the Essonne department of the Île-de-France region in northern France.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc489f7edc8190bde1b4dc09249207 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd0d95ec81908669ee35f0987be7 |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.