Triple

T1419595
Position Surface form Disambiguated ID Type / Status
Subject Bardonecchia E31993 entity
Predicate locatedIn P40 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: [Bardonecchia, locatedIn, Susa Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susa Valley
Context triple: [Bardonecchia, locatedIn, 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. 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.
  • C. Susa
    Susa is an ancient town in the Piedmont region of northwestern Italy, historically significant as a key Alpine gateway between Italy and France.
  • D. Taftan
    Taftan is a town in Pakistan’s Balochistan province known as a key border crossing and trade gateway between Pakistan and Iran.
  • E. Khorasan
    Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c40631e881909ddf81a2eb84af1c completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b09c948190a5ec17021299049e completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 7:59 p.m.