Triple
T18291048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagnes |
E438114
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Fionnay |
—
|
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: Fionnay | Statement: [Bagnes, contains, Fionnay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fionnay Context triple: [Bagnes, contains, Fionnay]
-
A.
Fionnay
chosen
Fionnay is a small alpine village in the Swiss canton of Valais, known as a gateway to high-mountain hiking and climbing routes in the Grand Combin massif.
-
B.
Fearnan
Fearnan is a small village in Perth and Kinross, Scotland, situated in the scenic Highlands near the shores of Loch Tay.
-
C.
Aegan
Aegan is a 2008 Tamil action-comedy film starring Ajith Kumar, loosely inspired by the Bollywood movie Main Hoon Na.
-
D.
Faist
Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
-
E.
Finnis
Finnis is a surname most notably associated with John Finnis, an influential legal philosopher known for his work on natural law theory.
- 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_69e500fee5248190928e68ddaa4d90d7 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.