Triple

T3583416
Position Surface form Disambiguated ID Type / Status
Subject Cardiff Devils E75852 entity
Predicate hasAbbreviation P43 FINISHED
Object CDF E27872 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: CDF | Statement: [Cardiff Devils, hasAbbreviation, CDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CDF
Context triple: [Cardiff Devils, hasAbbreviation, CDF]
  • A. CDF chosen
    CDF is the National Rail station code for Cardiff Central railway station, a major transport hub in Cardiff, Wales.
  • B. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • C. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • D. CAF
    CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
  • E. CAF
    CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc104846c81908b6fbde7061464b4 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402f7ee6481908d06db05f9c09faf completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.