Triple
T16102826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac Vert (Passy) |
E390663
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Passy |
E343878
|
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: Passy | Statement: [Lac Vert (Passy), nearbySettlement, Passy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passy Context triple: [Lac Vert (Passy), nearbySettlement, Passy]
-
A.
Passy
chosen
Passy is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its Alpine setting near Mont Blanc.
-
B.
Passy
Passy is a Paris Métro station in the 16th arrondissement, serving Line 6 near the Trocadéro and the Seine.
-
C.
Pully
Pully is a municipality in the canton of Vaud in western Switzerland, located on the shores of Lake Geneva near Lausanne.
-
D.
Ville Basse
Ville Basse is the lower, more modern part of the French city of Carcassonne, known for its shops, squares, and everyday urban life in contrast to the fortified medieval citadel.
-
E.
Ville Basse
Ville Basse is the lower town district of Bar-le-Duc, known for its more modern urban area compared to the historic upper town.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6976ec8190b499e99b196b0285 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79c74388190a10e0346426b0cbe |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5 a.m.