Triple

T10103176
Position Surface form Disambiguated ID Type / Status
Subject Hadamar E216251 entity
Predicate twinnedWith P1072 FINISHED
Object Landivisiau E252345 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: Landivisiau | Statement: [Hadamar, twinnedWith, Landivisiau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landivisiau
Context triple: [Hadamar, twinnedWith, Landivisiau]
  • A. Douarnenez
    Douarnenez is a coastal town in Brittany, France, known for its historic sardine fishing industry and picturesque harbor.
  • B. Fouesnant
    Fouesnant is a coastal commune in Brittany, northwestern France, known for its beaches, seaside tourism, and proximity to the Glénan archipelago.
  • C. Trégor
    Trégor is a historic region in northwestern Brittany, France, known for its distinct Breton cultural heritage, coastal landscapes, and traditional Breton language variety.
  • D. BAN Landivisiau chosen
    BAN Landivisiau is a major French naval air base in Brittany that serves as the principal home of the French Navy’s carrier-based fighter aircraft.
  • E. Ain Sifni
    Ain Sifni is a town in northern Iraq that serves as an administrative and commercial center in the Nineveh Governorate, known for its diverse ethnic and religious communities.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09af07c819099774af46ebf62d7 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6dcca848190851f6f1968fe244c completed April 5, 2026, 7:24 p.m.
Created at: March 30, 2026, 9:03 p.m.