Triple
T2445446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernex |
E53379
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Aire-la-Ville |
E202617
|
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: Aire-la-Ville | Statement: [Bernex, hasNeighboringMunicipality, Aire-la-Ville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aire-la-Ville Context triple: [Bernex, hasNeighboringMunicipality, Aire-la-Ville]
-
A.
Aire-la-Ville
chosen
Aire-la-Ville is a small municipality in the canton of Geneva in southwestern Switzerland, situated along the Rhône River.
-
B.
Boulogne-Billancourt
Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in the Île-de-France region.
-
C.
Sarcelles
Sarcelles is a northern suburb of Paris in the Île-de-France region, known for its large housing estates and diverse, multicultural population.
-
D.
Levallois-Perret
Levallois-Perret is a densely populated suburban commune just northwest of central Paris, known for its residential character and proximity to the capital.
-
E.
Puteaux
Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca23ebe8819099a579a07c1bb708 |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6f7ccdf4819099dbfcad566293ea |
completed | March 21, 2026, 10:14 a.m. |
Created at: March 6, 2026, 9:43 p.m.