Triple

T11424920
Position Surface form Disambiguated ID Type / Status
Subject Cape Byron E270721 entity
Predicate hasBeachesNearby P95431 FINISHED
Object yes 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: yes | Statement: [Cape Byron, hasBeachesNearby, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBeachesNearby
Context triple: [Cape Byron, hasBeachesNearby, yes]
  • A. hasBeachNearby chosen
    Indicates that one location is situated close enough to another location to have convenient access to a beach.
  • B. hasBeach
    Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
  • C. hasBeachSection
    Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
  • D. isBeachTown
    Indicates that a place is a town characterized by its location on or near a beach and its association with beach-related activities or environment.
  • E. hasBeachTagRequirement
    Indicates that something is subject to a specific requirement or condition related to beach access, use, or tagging.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806be9c2c819084da13101cbb6c81 completed April 9, 2026, 8:06 p.m.
PD Predicate disambiguation batch_69d7e71436f88190ac7e45a04ea5c987 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:35 p.m.