Triple
T22739252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port-Valais |
E562360
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Monthey |
—
|
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: Monthey | Statement: [Port-Valais, hasNeighbouringMunicipality, Monthey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monthey Context triple: [Port-Valais, hasNeighbouringMunicipality, 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.
Sweeney Erect
"Sweeney Erect" is a modernist poem by T. S. Eliot that portrays the sordid, fragmented inner and outer life of its crude titular character through vivid, disjointed imagery and allusion.
-
D.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
E.
Lord You Know
"Lord You Know" is a song by the American hip hop group Purple Haze.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797241588190be67db7a37a88f23 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:23 p.m.