Triple

T19680454
Position Surface form Disambiguated ID Type / Status
Subject Faches-Thumesnil E472569 entity
Predicate sharesBorderWith P224 FINISHED
Object Ronchin 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: Ronchin | Statement: [Faches-Thumesnil, sharesBorderWith, Ronchin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronchin
Context triple: [Faches-Thumesnil, sharesBorderWith, Ronchin]
  • A. Ronchin chosen
    Ronchin is a commune in northern France that forms part of the suburban area of Lille within the Hauts-de-France region.
  • B. Carassai
    Carassai is a small historic hill town in Italy’s Marche region, known for its medieval architecture and scenic countryside setting.
  • C. Carfagna
    Carfagna is an Italian surname most notably associated with Mara Carfagna, a prominent Italian politician and former television presenter.
  • D. Chieri
    Chieri is a historic town and comune in the Piedmont region of northwestern Italy, known for its medieval architecture and proximity to the city of Turin.
  • E. Fasano
    Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bf97348190bc31b00ed4ec6cad completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.