Triple

T18098557
Position Surface form Disambiguated ID Type / Status
Subject Mobile Symphony Orchestra E433152 entity
Predicate servesCity P82 FINISHED
Object Mobile 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: Mobile | Statement: [Mobile Symphony Orchestra, servesCity, Mobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobile
Context triple: [Mobile Symphony Orchestra, servesCity, Mobile]
  • A. Mobile chosen
    Mobile is a historic port city on Alabama’s Gulf Coast known for its shipbuilding, cultural heritage, and hosting one of the oldest Mardi Gras celebrations in the United States.
  • B. Mobile
    Mobile is a small coastal community in Newfoundland and Labrador, Canada, located on the Avalon Peninsula south of St. John’s.
  • C. Handphone
    Handphone is a South Korean thriller film known for its tense narrative involving blackmail and the misuse of mobile phone technology.
  • D. .mobi
    .mobi is a top-level internet domain designed specifically for websites and services optimized for mobile devices.
  • E. Mobile Unit
    Mobile Unit is a touring theater program of The Public Theater that brings free, professional performances to underserved communities and nontraditional venues.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb3ef548190a322f98917b54a59 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.