Triple

T18197745
Position Surface form Disambiguated ID Type / Status
Subject Col de Turini E435704 entity
Predicate connects P390 FINISHED
Object Sospel 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: Sospel | Statement: [Col de Turini, connects, Sospel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sospel
Context triple: [Col de Turini, connects, Sospel]
  • A. Sospel chosen
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • B. Sorso
    Sorso is a town in northern Sardinia, Italy, known for its Sardinian (Sassarese) linguistic heritage and coastal Mediterranean setting.
  • C. Sorico
    Sorico is a small municipality in the Province of Como in Lombardy, northern Italy, situated at the northern end of Lake Como near the mouth of the River Mera.
  • D. Sipontum
    Sipontum was an ancient coastal town in southern Italy, near modern Manfredonia, that served as an important Roman and earlier Daunian settlement on the Adriatic Sea.
  • E. Solvan
    Solvan is a river associated with the town of Lons-le-Saunier in the Jura department of eastern France.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d47f1c819082eec59492497797 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.