Triple
T16544591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC Monthey |
E401908
|
entity |
| Predicate | hasFanBaseIn |
P897
|
FINISHED |
| Object | Monthey |
E84919
|
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: Monthey | Statement: [BBC Monthey, hasFanBaseIn, Monthey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monthey Context triple: [BBC Monthey, hasFanBaseIn, Monthey]
-
A.
Monthey
chosen
Monthey is a town and municipality in southwestern Switzerland known for its industrial base and location in the canton of Valais near the Rhône River and the Chablais Alps.
-
B.
Monthey Carnival
Monthey Carnival is a traditional and lively annual Swiss carnival celebrated in the town of Monthey, known for its colorful parades, costumes, and festive street events.
-
C.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
D.
Lord You Know
"Lord You Know" is a song by the American hip hop group Purple Haze.
-
E.
Cloanto
Cloanto is a software company best known for preserving and commercializing classic Amiga computing through emulation packages and licensed ROM distributions.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34560daf08190b353b415d8ab280d |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2590d48190b72b7d5be20c14c7 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:15 a.m.