Triple

T15632973
Position Surface form Disambiguated ID Type / Status
Subject EC E375865 entity
Predicate hasSubdivision P747 FINISHED
Object EC1 E886940 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: EC1 | Statement: [EC, hasSubdivision, EC1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EC1
Context triple: [EC, hasSubdivision, EC1]
  • A. EC4
    EC4 is a central London postcode district covering parts of the City of London, including key financial and commercial areas around Cannon Street and St Paul’s.
  • B. EC3
    EC3 is a central London postcode district covering parts of the City of London, including areas around the financial district and the eastern end of the historic core.
  • C. EC1N chosen
    EC1N is a central London postcode district covering parts of the Holborn and Farringdon areas, known for its mix of legal, commercial, and residential properties.
  • D. EC
    EC is the commonly used abbreviation for the Election Commission of Bangladesh, the constitutional body responsible for overseeing and conducting elections in the country.
  • E. EC
    EC is the commonly used abbreviation for Epsom College, a well-known independent co-educational boarding and day school in Surrey, England.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.