Triple

T12067945
Position Surface form Disambiguated ID Type / Status
Subject Bowie Ice Arena E287345 entity
Predicate operatedBy P86 FINISHED
Object City of Bowie E176231 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: City of Bowie | Statement: [Bowie Ice Arena, operatedBy, City of Bowie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Bowie
Context triple: [Bowie Ice Arena, operatedBy, City of Bowie]
  • A. City of Bowie chosen
    The City of Bowie is a municipality in Prince George’s County, Maryland, known as one of the state’s largest and fastest-growing suburban communities within the Washington, D.C. metropolitan area.
  • B. Mystic Bowie
    Mystic Bowie is a Jamaican-born reggae and funk musician best known for his work as a vocalist and performer with the Tom Tom Club.
  • C. Take a Bow
    "Take a Bow" is a mid-tempo pop and R&B ballad by Rihanna, known for its breakup theme and commercial success worldwide.
  • D. Take a Bow
    "Take a Bow" is a mid-1990s R&B ballad best known as a hit single by Madonna, notable for its smooth, melancholic tone and strong chart success worldwide.
  • E. The Age of Bowie
    The Age of Bowie is a biographical and critical study of musician David Bowie, written by British music journalist and cultural commentator Paul Morley.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7c2b0081909994ea88683a39f4 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:48 p.m.