Triple

T30039732
Position Surface form Disambiguated ID Type / Status
Subject Jerantut E763261 entity
Predicate hasPrimaryAccessRouteTo P55123 FINISHED
Object Kuala Tahan 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: Kuala Tahan | Statement: [Jerantut, hasPrimaryAccessRouteTo, Kuala Tahan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryAccessRouteTo
Context triple: [Jerantut, hasPrimaryAccessRouteTo, Kuala Tahan]
  • A. hasAccessRouteTo
    Indicates that one entity possesses a path, connection, or means of reaching or interacting with another entity.
  • B. hasPrimaryAccessFrom
    Indicates that one entity serves as the main or preferred point of access or entry to another entity.
  • C. hasPrimaryAccessRole
    Indicates that an entity is assigned the main or most authoritative access role governing its permissions or privileges.
  • D. hasPrimaryAccessType
    Indicates that an entity is associated with its main or default mode or category of access.
  • E. hasPrimaryRoute chosen
    Indicates that one entity is designated as the main or principal route associated with another entity.
  • 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_69f2246fb2b88190acff36bf7975c8f0 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69ffb69812808190a751853b30183e65 completed May 9, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69ffb63bdda88190a9dd8426dc0bad43 completed May 9, 2026, 10:33 p.m.
Created at: April 29, 2026, 6:52 p.m.