Triple

T13593900
Position Surface form Disambiguated ID Type / Status
Subject MCA Chicago E324763 entity
Predicate hasFacility P105 FINISHED
Object MCA Stage E324762 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: MCA Stage | Statement: [MCA Chicago, hasFacility, MCA Stage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCA Stage
Context triple: [MCA Chicago, hasFacility, MCA Stage]
  • A. MCA Stage chosen
    MCA Stage is the Museum of Contemporary Art Chicago’s performance venue, known for presenting innovative contemporary theater, dance, music, and interdisciplinary live art.
  • B. MCA
    MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
  • C. MCA
    MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
  • D. MCA
    MCA is a prominent Algerian football club based in Algiers, officially known as Mouloudia Club d'Alger.
  • E. MCA
    MCA is the national regulatory authority overseeing electronic communications, eCommerce, and postal services in Malta.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc762a08190b5d29cef9923da84 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.