Triple

T7680968
Position Surface form Disambiguated ID Type / Status
Subject Col de Montgenèvre E173990 entity
Predicate historicallyLinks P16345 FINISHED
Object Susa Valley E159177 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: Susa Valley | Statement: [Col de Montgenèvre, historicallyLinks, Susa Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susa Valley
Context triple: [Col de Montgenèvre, historicallyLinks, Susa Valley]
  • A. Susa Valley chosen
    Susa Valley is a major alpine valley in the Piedmont region of northwestern Italy, known for its historic towns, mountain passes, and ski resorts near the French border.
  • B. Qadisha Valley
    Qadisha Valley is a deep, historic gorge in northern Lebanon renowned for its ancient Christian monastic communities and dramatic natural landscapes, and is recognized as a UNESCO World Heritage Site.
  • C. Susa
    Susa was an ancient city in southwestern Iran that served as a major political and administrative center for several empires, including the Achaemenid Persians.
  • D. Susa
    Susa is an ancient town in the Piedmont region of northwestern Italy, historically significant as a key Alpine gateway between Italy and France.
  • E. Siran Valley
    Siran Valley is a scenic mountainous valley in Pakistan’s Khyber Pakhtunkhwa province, known for its lush landscapes, rivers, and cool climate that attract tourists and nature lovers.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c708affd048190bf21bcc1796a3c39 completed March 27, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac9e0cd081909b404f6a7e978f6b completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 4:01 p.m.