Triple

T2496758
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 397 E52168 entity
Predicate trainFamily P39824 FINISHED
Object CAF Civity E59649 NE FINISHED

How this triple was built (3 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: CAF Civity | Statement: [British Rail Class 397, trainFamily, CAF Civity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAF Civity
Context triple: [British Rail Class 397, trainFamily, CAF Civity]
  • A. CAF
    CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
  • B. CAF
    CAF is an abbreviation that can refer to various organizations or groups, most notably the Cactus Air Force, a World War II Allied air unit based on Guadalcanal.
  • C. CAF
    CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
  • D. CAF chosen
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainFamily
Context triple: [British Rail Class 397, trainFamily, CAF Civity]
  • A. familyOf
    Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
  • B. containsFamily
    Indicates that one entity includes or encompasses members of a particular family group within it.
  • C. familyGroup
    Indicates that multiple entities are related to each other as members of the same family unit or household.
  • D. trains
    Indicates that one entity teaches, instructs, or coaches another entity to develop skills, knowledge, or abilities.
  • E. familyType
    Indicates the specific familial relationship or category that characterizes how the related entities are connected as family.
  • F. None of above. chosen

Provenance (5 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1abd3688190b5874249e1e333bc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f98a1a48190bc9eeb25868a2f9b completed March 9, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69abd0b980b481908d4932bcea4a6167 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1318f7881908a8fc42943df4879 completed March 7, 2026, 7:18 a.m.
Created at: March 6, 2026, 9:45 p.m.