Triple
T7007005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rimpfischhorn |
E162481
|
entity |
| Predicate | canton |
P3942
|
FINISHED |
| Object | Valais |
E13342
|
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: Valais | Statement: [Rimpfischhorn, canton, Valais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valais Context triple: [Rimpfischhorn, canton, Valais]
-
A.
Valais
chosen
Valais is a mountainous canton in southwestern Switzerland known for its Alpine scenery, vineyards, and popular ski resorts such as Zermatt and Verbier.
-
B.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
C.
Illanun
Illanun is an alternative name for the Iranun, a seafaring Austronesian ethnic group from the southern Philippines and parts of Sabah known historically for maritime trade and raiding.
-
D.
Vallet
Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
-
E.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc35cb848190a839919021efce81 |
completed | March 27, 2026, 7:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a43c3a081909b9150d36ba107f5 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.