Triple
T4466571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutor massif |
E98392
|
entity |
| Predicate | separates |
P1175
|
FINISHED |
| Object | La Thuile valley |
E132352
|
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: La Thuile valley | Statement: [Rutor massif, separates, La Thuile valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Thuile valley Context triple: [Rutor massif, separates, La Thuile valley]
-
A.
La Thuile
chosen
La Thuile is a mountain village and ski resort in northwestern Italy known for its extensive slopes and cross-border ski area linked with La Rosière in France.
-
B.
Alagna Valsesia
Alagna Valsesia is a mountain village and ski resort in Italy’s Piedmont region, renowned as a gateway to Monte Rosa and high-altitude alpine climbing.
-
C.
Tarentaise Valley
The Tarentaise Valley is a high alpine valley in the French Alps renowned for its major ski resorts and dramatic mountain scenery.
-
D.
Val di Fassa
Val di Fassa is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and hiking opportunities.
-
E.
Val di Greve
Val di Greve is a valley area in the Chianti region of Tuscany, Italy, known for its historic villages and wine-producing landscapes.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356991a588190be2f95fd957d7f99 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6376c8e74819087aa2ff3e4429674 |
completed | March 15, 2026, 4:37 a.m. |
Created at: March 12, 2026, 11:34 p.m.