Triple
T6950692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Orly |
E160912
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object | Ablon-sur-Seine |
E202994
|
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: Ablon-sur-Seine | Statement: [canton of Orly, containsCommune, Ablon-sur-Seine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ablon-sur-Seine Context triple: [canton of Orly, containsCommune, Ablon-sur-Seine]
-
A.
Ablon-sur-Seine
chosen
Ablon-sur-Seine is a small suburban commune in the southeastern outskirts of Paris, France, situated along the Seine River in the Val-de-Marne department.
-
B.
Morsang-sur-Seine
Morsang-sur-Seine is a small commune in the Essonne department in northern France, situated along the Seine River and within the southern suburbs of Paris.
-
C.
Vulaines-sur-Seine
Vulaines-sur-Seine is a small commune in north-central France, known in part as the place where the symbolist poet Stéphane Mallarmé died.
-
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.
Mouvaux
Mouvaux is a suburban commune in northern France that forms part of the Lille metropolitan area.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daaeb66c8190a62b32a2c22f166a |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758797228819089362f137e9eb747 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:29 p.m.