Triple

T7220450
Position Surface form Disambiguated ID Type / Status
Subject Maritime and Coastguard Agency E150245 entity
Predicate abbreviation P43 FINISHED
Object MCA E150245 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 | Statement: [Maritime and Coastguard Agency, abbreviation, MCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCA
Context triple: [Maritime and Coastguard Agency, abbreviation, MCA]
  • A. MCA chosen
    MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
  • 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 a prominent Algerian football club based in Algiers, officially known as Mouloudia Club d'Alger.
  • D. MCA
    MCA is a postgraduate professional degree in computer applications that focuses on advanced software development, programming, and IT skills.
  • E. MCC
    MCC is the former name of the Horizon League, an NCAA Division I collegiate athletic conference in the United States.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9b2ef8481908ac6608b1faeb1db completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc0707ec8190b874b23ee0065e32 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:54 p.m.