Triple

T3862150
Position Surface form Disambiguated ID Type / Status
Subject LFMN E90162 entity
Predicate servesMetropolitanArea P82 FINISHED
Object Nice metropolitan area E396143 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: Nice metropolitan area | Statement: [LFMN, servesMetropolitanArea, Nice metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nice metropolitan area
Context triple: [LFMN, servesMetropolitanArea, Nice metropolitan area]
  • A. Nice metropolitan area chosen
    The Nice metropolitan area is the urban and economic region centered on the city of Nice on the French Riviera, encompassing its surrounding communes along the Mediterranean coast.
  • B. Naha urban area
    Naha urban area is the principal metropolitan and economic center of Okinawa Prefecture in Japan, encompassing the city of Naha and its surrounding urbanized regions.
  • C. Nice city centre
    Nice city centre is the vibrant commercial and cultural heart of Nice, known for its bustling shopping streets, historic architecture, and proximity to the Mediterranean waterfront.
  • D. Metropolitan
    Metropolitan is a senior bishop rank in the Eastern Orthodox Church, typically overseeing a large or important diocese or region.
  • E. City Loop
    City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec22a5dc8190be8298d1ce8ca449 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c7d99208190baee9830cc448eee completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.