Triple

T21013375
Position Surface form Disambiguated ID Type / Status
Subject Plaza de César Chávez E517608 entity
Predicate hasFormerName P65 FINISHED
Object City Plaza E1313086 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 Plaza | Statement: [Plaza de César Chávez, hasFormerName, City Plaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Plaza
Context triple: [Plaza de César Chávez, hasFormerName, City Plaza]
  • A. City Plaza chosen
    City Plaza is a central outdoor gathering and event space in downtown Raleigh known for public events, performances, and community activities.
  • B. Cityplaza
    Cityplaza is a major shopping and commercial complex in Hong Kong known for its extensive retail, dining, and entertainment offerings.
  • C. City Square
    City Square is a historic public square and traffic hub in Boston’s Charlestown neighborhood, known for its colonial-era significance and proximity to the Freedom Trail.
  • D. Plaza City
    Plaza City is a nickname for Orange, California, highlighting its historic central plaza and small-town, old-fashioned downtown charm.
  • E. Central Plaza
    Central Plaza is a prominent 78-story skyscraper in Hong Kong’s Wan Chai district, notable for its distinctive triangular floor plan and once holding the title of the city’s tallest building.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc41d57881908b9ab17d1844a8d0 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b6369fc81909ff15a48a8a640e2 completed May 17, 2026, 3:52 a.m.
Created at: April 16, 2026, 1:54 p.m.