Triple
T9441211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houilles |
E227648
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sartrouville |
E258495
|
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: Sartrouville | Statement: [Houilles, locatedNear, Sartrouville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sartrouville Context triple: [Houilles, locatedNear, Sartrouville]
-
A.
Sartrouville
chosen
Sartrouville is a suburban commune in the northwestern outskirts of Paris, France, situated along the Seine River.
-
B.
Arnouville
Arnouville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
C.
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.
-
D.
Vaucresson
Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
-
E.
Le Vésinet
Le Vésinet is a suburban town in the western outskirts of Paris, France, known for its landscaped parks, lakes, and villa-style residential character.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee4f4a08190ada5ee14fec2b822 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152643bbc8190840f294442f2e1cc |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 7:50 p.m.