Triple
T7135001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Tuileries |
E166284
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Thônex |
E31639
|
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: Thônex | Statement: [Les Tuileries, locatedIn, Thônex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thônex Context triple: [Les Tuileries, locatedIn, Thônex]
-
A.
Thônex
chosen
Thônex is a municipality in western Switzerland that forms part of the suburban area of Geneva near the French border.
-
B.
Peize
Peize is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Noordenveld.
-
C.
Troyon
Troyon is a French surname most notably associated with Constant Troyon, a 19th-century landscape and animal painter of the Barbizon school.
-
D.
Lezoux
Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
-
E.
Thalle
Thalle is a small settlement located within the remote Shigar Valley in the mountainous Gilgit-Baltistan region of northern Pakistan.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e690f954819084b81a555f4cdb5e |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a344fb4881908f6b6e33706e0192 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:45 p.m.