Triple
T18277964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chéserex |
E437786
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Trélex |
—
|
NE NERFINISHED |
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: Trélex | Statement: [Chéserex, hasNeighboringMunicipality, Trélex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trélex Context triple: [Chéserex, hasNeighboringMunicipality, Trélex]
-
A.
Trélex
chosen
Trélex is a small Swiss municipality in the canton of Vaud, located near the town of Nyon on the shores of Lake Geneva.
-
B.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
C.
Tramelan
Tramelan is a municipality in the French-speaking Bernese Jura region of Switzerland, known for its watchmaking industry and scenic Jura landscapes.
-
D.
TREX
TREX is an XML schema language designed by James Clark that served as a precursor to the RELAX NG schema specification.
-
E.
Trizone
Trizone was the informal name for the combined American, British, and French occupation zones in post-World War II Germany that later formed the Federal Republic of Germany (West Germany).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50053cc808190b46a3ec9d96936fe |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.