Triple
T14131917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corsier |
E350188
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Anières |
E33691
|
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: Anières | Statement: [Corsier, hasBorderWith, Anières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anières Context triple: [Corsier, hasBorderWith, Anières]
-
A.
Anières
chosen
Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
-
B.
Vieussan
Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
-
C.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
D.
La Val
La Val is a small alpine village and municipality in South Tyrol, northern Italy, known for its Ladin culture and scenic Dolomite mountain landscapes.
-
E.
Noiraigue
Noiraigue is a small village in the canton of Neuchâtel, Switzerland, known as a gateway to the scenic Areuse Gorge and nearby Jura landscapes.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610cece88190b4a86500677e5938 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf10e3948190b21968bc39094a8e |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 11:16 p.m.