Triple

T18919240
Position Surface form Disambiguated ID Type / Status
Subject Domfront E462802 entity
Predicate hasPart P35 FINISHED
Object Domfront old town NE NERFINISHED

How this triple was built (3 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: Domfront old town | Statement: [Domfront, hasPart, Domfront old town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domfront old town
Context triple: [Domfront, hasPart, Domfront old town]
  • A. Getaria old town
    Getaria old town is the historic coastal center of the Basque fishing village of Getaria in northern Spain, known for its medieval streets, maritime heritage, and views of the nearby San Antón hill.
  • B. Piran old town
    Piran old town is a well-preserved medieval coastal quarter in Slovenia known for its narrow Venetian-style streets, historic architecture, and picturesque Adriatic seaside setting.
  • C. Rolle old town
    Rolle old town is the historic center of the lakeside Swiss town of Rolle on Lake Geneva, known for its picturesque streets, traditional architecture, and proximity to the medieval Château de Rolle.
  • D. Unterseen old town
    Unterseen old town is a historic Swiss village center near Interlaken, known for its traditional architecture, quiet streets, and views of the surrounding Alps.
  • E. Altstadt (Old Town)
    Altstadt (Old Town) is the historic central district of Brandenburg an der Havel, characterized by its medieval street layout, traditional architecture, and cultural landmarks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Domfront old town
Target entity description: Domfront old town is the historic medieval quarter of Domfront, France, known for its narrow streets, ancient stone houses, and remnants of fortifications around the hilltop castle.
  • A. Getaria old town
    Getaria old town is the historic coastal center of the Basque fishing village of Getaria in northern Spain, known for its medieval streets, maritime heritage, and views of the nearby San Antón hill.
  • B. Piran old town
    Piran old town is a well-preserved medieval coastal quarter in Slovenia known for its narrow Venetian-style streets, historic architecture, and picturesque Adriatic seaside setting.
  • C. Rolle old town
    Rolle old town is the historic center of the lakeside Swiss town of Rolle on Lake Geneva, known for its picturesque streets, traditional architecture, and proximity to the medieval Château de Rolle.
  • D. Unterseen old town
    Unterseen old town is a historic Swiss village center near Interlaken, known for its traditional architecture, quiet streets, and views of the surrounding Alps.
  • E. Altstadt (Old Town)
    Altstadt (Old Town) is the historic central district of Brandenburg an der Havel, characterized by its medieval street layout, traditional architecture, and cultural landmarks.
  • F. None of above. chosen

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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c629527481909dad169f07df0da4 completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:59 a.m.