Triple

T21353786
Position Surface form Disambiguated ID Type / Status
Subject Bitche canton E526557 entity
Predicate administrativeCenter P1474 FINISHED
Object Bitche 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: Bitche | Statement: [Bitche canton, administrativeCenter, Bitche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitche
Context triple: [Bitche canton, administrativeCenter, Bitche]
  • A. Bitche chosen
    Bitche is a small fortified town in northeastern France’s Moselle department, known for its historic citadel and role in regional military history.
  • B. Bitsch
    Bitsch is a small Swiss municipality in the canton of Valais, known for its alpine setting near the upper Rhône valley.
  • C. La Fouine
    La Fouine is a French rapper and songwriter known for his influential role in the French hip-hop scene and his autobiographical, street-oriented lyrics.
  • D. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • E. Biétry
    Biétry is an upscale coastal residential neighborhood in the Marcory commune of Abidjan, Côte d'Ivoire, known for its restaurants, hotels, and nightlife along the lagoon.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bac9e1481909121e89f046c77f6 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:05 p.m.