Triple

T10180687
Position Surface form Disambiguated ID Type / Status
Subject Auber E235972 entity
Predicate connectsArea P2564 FINISHED
Object Haussmann boulevard area E364577 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: Haussmann boulevard area | Statement: [Auber, connectsArea, Haussmann boulevard area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haussmann boulevard area
Context triple: [Auber, connectsArea, Haussmann boulevard area]
  • A. Grands Boulevards area
    The Grands Boulevards area is a lively central district in Paris known for its historic 19th-century boulevards, theaters, cafés, and bustling shopping streets.
  • B. Rue Belliard area
    The Rue Belliard area is a key administrative district in Brussels that hosts several major European Union institutions and offices.
  • C. Pigalle area
    The Pigalle area is a lively Parisian neighborhood known for its historic cabarets, nightlife, and adult entertainment venues near Montmartre on the Right Bank.
  • D. Grands Boulevards chosen
    Grands Boulevards is a famous series of wide, historic avenues in central Paris known for their theaters, cafés, shops, and vibrant urban life.
  • E. Les Halles neighborhood
    Les Halles neighborhood is a central Paris district known for its major underground shopping mall, transport hub, and lively commercial and cultural scene.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded315f14819085727bd9b4363d10 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301373a008190b8d39a8db4167e4f completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.