Triple
T9196149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coppet |
E220712
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Tannay |
E437792
|
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: Tannay | Statement: [Coppet, hasNeighboringMunicipality, Tannay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tannay Context triple: [Coppet, hasNeighboringMunicipality, Tannay]
-
A.
Tannay
chosen
Tannay is a small lakeside municipality in the canton of Vaud in western Switzerland, situated on the shores of Lake Geneva.
-
B.
Radaur
Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
-
C.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
D.
Nguillatun
Nguillatun is a central Mapuche religious ceremony involving communal prayer, offerings, and traditional performances to seek harmony with spiritual forces and ensure collective well-being.
-
E.
Valée
Valée is a French surname most notably borne by Sylvain Charles Valée, a 19th-century French military officer and Marshal of France.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87d6460819097234b5dd3f749b4 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c36d7208190a593923bad3d18e7 |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:25 p.m.