Triple

T25241589
Position Surface form Disambiguated ID Type / Status
Subject Little Andaman coast E632483 entity
Predicate hasTourismCharacter P84159 FINISHED
Object offbeat destination 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: offbeat destination | Statement: [Little Andaman coast, hasTourismCharacter, offbeat destination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTourismCharacter
Context triple: [Little Andaman coast, hasTourismCharacter, offbeat destination]
  • A. hasTourismFunction
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • B. hasTourismResource
    Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
  • C. hasTourismStyle
    Indicates the type or style of tourism associated with or characteristic of a particular entity.
  • D. hasTourismPotential
    Indicates that a place or resource possesses qualities that make it attractive or suitable for tourism activities or development.
  • E. tourismCharacteristic chosen
    Indicates that something has a specific feature, quality, or attribute relevant to tourism, such as what makes a place, service, or activity notable or suitable for tourists.
  • 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_69e75a8ec5f88190b9eba06ae42b413a completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f6135293908190809e255bf6334760 completed May 2, 2026, 3:08 p.m.
PD Predicate disambiguation batch_69f611a72780819082f44e66ca2c6ac9 completed May 2, 2026, 3 p.m.
Created at: April 21, 2026, 1:07 p.m.