Triple

T36743979
Position Surface form Disambiguated ID Type / Status
Subject Kāpiti Line E907700 entity
Predicate openedToPaekakariki P195022 FINISHED
Object 1940 LITERAL 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: 1940 | Statement: [Kāpiti Line, openedToPaekakariki, 1940]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openedToPaekakariki
Context triple: [Kāpiti Line, openedToPaekakariki, 1940]
  • A. openedWithPark
    Indicates that something (such as an event, show, or sequence) began or was initiated with a segment, performance, or feature involving a park.
  • B. openingTo
    Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
  • C. openedInPark
    Indicates that an entity was opened, inaugurated, or began operating within the boundaries of a park.
  • D. openedAlong
    Indicates that one entity was opened or inaugurated at the same time or in parallel with another entity.
  • E. openedIn
    Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period or location.
  • F. None of above. chosen

Provenance (4 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_69f76e76d10881909ec1679bc043108c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd974d75e08190af46b1d608769f3b completed May 8, 2026, 7:57 a.m.
PD Predicate disambiguation batch_69fd94ff792c8190bedf4a639d3da809 completed May 8, 2026, 7:47 a.m.
PDg Predicate description generation batch_69fd974c0e8481909fdd312897c647b3 completed May 8, 2026, 7:57 a.m.
Created at: May 3, 2026, 4:12 p.m.