Triple
T18277742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arzier-Le Muids |
E437781
|
entity |
| Predicate | mergedFrom |
P402
|
FINISHED |
| Object | Arzier |
—
|
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: Arzier | Statement: [Arzier-Le Muids, mergedFrom, Arzier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arzier Context triple: [Arzier-Le Muids, mergedFrom, Arzier]
-
A.
Arzier-Le Muids
chosen
Arzier-Le Muids is a Swiss municipality in the canton of Vaud, situated in the Jura foothills above Lake Geneva and known for its scenic rural and residential character.
-
B.
Franchi
Franchi is an Italian firearms manufacturer best known for its shotguns, operating as a subsidiary of the Beretta Holding group.
-
C.
Franchi
Franchi is the commonly used nickname for Stadio Artemio Franchi, the main football stadium in Florence, Italy.
-
D.
Arbizon
Arbizon is a prominent peak in the French Pyrenees known for its striking pyramidal shape and panoramic views over the surrounding valleys.
-
E.
Beretta
Beretta is a historic Italian firearms manufacturer renowned worldwide for its pistols, shotguns, and military small arms.
- 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.