Triple

T20489494
Position Surface form Disambiguated ID Type / Status
Subject Backnang E502699 entity
Predicate hasTwinTown P919 FINISHED
Object Braine 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: Braine | Statement: [Backnang, hasTwinTown, Braine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braine
Context triple: [Backnang, hasTwinTown, Braine]
  • A. Braine
    Braine is an English surname most notably associated with John Braine, a 20th-century British novelist linked to the "Angry Young Men" literary movement.
  • B. Braine chosen
    Braine is a commune in northern France historically linked to the medieval noble house of Dreux and the residence of Robert I of Dreux.
  • C. Ganthet
    Ganthet is a wise and compassionate Guardian of the Universe from DC Comics, best known for mentoring Green Lanterns and challenging the rigid traditions of his fellow Guardians.
  • D. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • E. Butre
    Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5d93ec81908259696359090b35 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.