Triple

T31128543
Position Surface form Disambiguated ID Type / Status
Subject Lady Morgan area E793425 entity
Predicate primaryAccessType P144828 FINISHED
Object chairlift 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: chairlift | Statement: [Lady Morgan area, primaryAccessType, chairlift]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryAccessType
Context triple: [Lady Morgan area, primaryAccessType, chairlift]
  • A. typeOfAccess
    Indicates the specific kind or level of access that one entity has to another (such as read, write, or execute permissions).
  • B. primaryAccessPoint
    Indicates that one entity serves as the main or principal point through which another entity is accessed or entered.
  • C. mainAccessFor chosen
    Indicates that one entity serves as the primary means or route of access for another entity.
  • D. primaryMode
    Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
  • E. primaryUserType
    Indicates the main or dominant category of user associated with an entity or interaction.
  • 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_69f224d1701c819094f429798290e361 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e5174c8190a0bdde7e381b7624 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 9:05 p.m.