Triple

T20380720
Position Surface form Disambiguated ID Type / Status
Subject D.C. Armory E497817 entity
Predicate operatedBy P86 FINISHED
Object Events DC 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: Events DC | Statement: [D.C. Armory, operatedBy, Events DC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Events DC
Context triple: [D.C. Armory, operatedBy, Events DC]
  • A. Events DC chosen
    Events DC is the official convention and sports authority for Washington, D.C., responsible for managing and promoting major event venues and tourism-related facilities in the city.
  • B. Awesome Con
    Awesome Con is a large annual pop culture and comic convention in Washington, D.C., featuring celebrity guests, panels, cosplay, and exhibitors celebrating comics, sci-fi, fantasy, and related fandoms.
  • C. Emerald City Comic Con
    Emerald City Comic Con is a major annual pop culture and comic book convention in Seattle that features celebrity guests, panels, cosplay, and exhibitors from across the entertainment industry.
  • D. New York Comic Con
    New York Comic Con is a major annual pop culture convention in New York City featuring comics, film and TV panels, celebrity appearances, and fan events.
  • E. DCU
    DCU is a modern public university in Dublin, Ireland, known for its focus on innovation, research, and industry-oriented education.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b026e081909541e545886c8380 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.