Triple

T25241590
Position Surface form Disambiguated ID Type / Status
Subject Little Andaman coast E632483 entity
Predicate hasTourismCharacter P84159 FINISHED
Object eco-tourism oriented 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: eco-tourism oriented | Statement: [Little Andaman coast, hasTourismCharacter, eco-tourism oriented]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTourismCharacter
Context triple: [Little Andaman coast, hasTourismCharacter, eco-tourism oriented]
  • 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_69f61f12b0f08190bc4a16907941864c completed May 2, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69f61b37a5648190b10d33ae205ccfee completed May 2, 2026, 3:41 p.m.
Created at: April 21, 2026, 1:07 p.m.