Triple

T24915202
Position Surface form Disambiguated ID Type / Status
Subject Munster Rugby E623963 entity
Predicate secondaryHomeCity P48850 FINISHED
Object Cork NE NERFINISHED

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: Cork | Statement: [Munster Rugby, secondaryHomeCity, Cork]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryHomeCity
Context triple: [Munster Rugby, secondaryHomeCity, Cork]
  • A. hasSecondaryCity chosen
    Indicates that an entity possesses or is associated with a secondary city in addition to its primary city.
  • B. secondarySeeCity
    Indicates that an entity has a secondary or less prominent association with a particular city.
  • C. secondaryCityTerminus
    Indicates that a city serves as a secondary (non-primary) terminus or endpoint for a given route or line.
  • D. secondMetropolitan
    Indicates that one entity is the second metropolitan (e.g., second-ranking or second-designated metropolitan authority or see) in relation to another entity.
  • E. secondaryCapital
    Indicates that a location serves as an additional or secondary capital city for a political entity, alongside its primary capital.
  • F. None of above.

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_69e2fac889c081908e9ff686cb428e5a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 18, 2026, 5:28 a.m.