Triple

T14132215
Position Surface form Disambiguated ID Type / Status
Subject Les Halles (Paris Métro) E350196 entity
Predicate serves P98 FINISHED
Object Les Halles district E638871 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: Les Halles district | Statement: [Les Halles (Paris Métro), serves, Les Halles district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Halles district
Context triple: [Les Halles (Paris Métro), serves, Les Halles district]
  • A. Le Panier district
    Le Panier district is Marseille’s oldest neighborhood, known for its narrow streets, colorful facades, and vibrant mix of historic charm, street art, and local cafés.
  • B. Les Halles neighborhood chosen
    Les Halles neighborhood is a central Paris district known for its major underground shopping mall, transport hub, and lively commercial and cultural scene.
  • C. Quartier Part-Dieu
    Quartier Part-Dieu is Lyon’s main business district, known for its high-rise offices, major shopping center, and one of France’s busiest railway stations.
  • D. Beaubourg neighborhood
    The Beaubourg neighborhood is a lively area in central Paris known for its modern art, street life, and the iconic Centre Pompidou.
  • E. Saint-Lazare district
    The Saint-Lazare district is a busy commercial and transport hub in central Paris, centered around the Gare Saint-Lazare railway station and its surrounding shopping streets and offices.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610cece88190b4a86500677e5938 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193728d88190acdb08ad0cf8b394 completed May 7, 2026, 10:59 p.m.
Created at: April 9, 2026, 11:24 p.m.