Triple

T27416011
Position Surface form Disambiguated ID Type / Status
Subject Ramnagar E692895 entity
Predicate hasForestDivisionOffice P177304 FINISHED
Object Corbett Tiger Reserve administration office 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: Corbett Tiger Reserve administration office | Statement: [Ramnagar, hasForestDivisionOffice, Corbett Tiger Reserve administration office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasForestDivisionOffice
Context triple: [Ramnagar, hasForestDivisionOffice, Corbett Tiger Reserve administration office]
  • A. hasForestAssociation
    Indicates an ecological or contextual relationship in which an entity is associated with, influenced by, or characteristically occurs in forest environments.
  • B. hasForestType
    Indicates that an area or location is characterized by a specific type or classification of forest.
  • C. partOfForestRegion
    Indicates that one entity is a component or subdivision within a larger forest region.
  • D. forestDistrict
    Indicates that one entity functions as the forest district or forest management administrative unit responsible for the other entity.
  • E. hasNationalForest
    Indicates that a place or jurisdiction contains, includes, or is home to at least one designated national forest.
  • F. None of above. chosen

Provenance (4 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_69ef5208617081908f731d312e0fd1bc completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f6fb93224881908fc66fe76115fcdb completed May 3, 2026, 7:38 a.m.
PD Predicate disambiguation batch_69f6f969b4cc8190afb473a2d8b110bc completed May 3, 2026, 7:29 a.m.
PDg Predicate description generation batch_69f6fb17d5ec81909091e37e1ddbe577 completed May 3, 2026, 7:36 a.m.
Created at: April 27, 2026, 12:34 p.m.