Triple

T9136788
Position Surface form Disambiguated ID Type / Status
Subject EWCA E219223 entity
Predicate distinguishedFrom P1612 FINISHED
Object UKSC E234668 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: UKSC | Statement: [EWCA, distinguishedFrom, UKSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UKSC
Context triple: [EWCA, distinguishedFrom, UKSC]
  • A. UKSC chosen
    UKSC is the commonly used abbreviation for the Supreme Court of the United Kingdom, the highest appellate court in the UK for civil cases and most criminal cases.
  • B. UKSC
    UKSC is the abbreviation for UK Space Command, the United Kingdom’s military organization responsible for space operations and defense.
  • C. UKLC
    UKLC is the ICAO airport code assigned to Lutsk Airport in Ukraine.
  • D. UKSPF
    UKSPF is a UK government funding programme designed to reduce regional inequalities and support local economic growth, skills, and community development across the country.
  • E. UKB
    UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8e1dc208190aafe501374ffe65c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047fb3c148190b2e1a19d4f76b550 completed April 3, 2026, 11:06 p.m.
Created at: March 30, 2026, 7:19 p.m.