Triple

T23488535
Position Surface form Disambiguated ID Type / Status
Subject Indira Gandhi National Forest Academy E570606 entity
Predicate roleInCivilServices P62141 FINISHED
Object central training institution for Indian Forest Service 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: central training institution for Indian Forest Service | Statement: [Indira Gandhi National Forest Academy, roleInCivilServices, central training institution for Indian Forest Service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInCivilServices
Context triple: [Indira Gandhi National Forest Academy, roleInCivilServices, central training institution for Indian Forest Service]
  • A. roleInMinistry
    Indicates that an entity holds or has held a specific position or function within a particular ministry or governmental department.
  • B. positionOnCivilService chosen
    Indicates the role, rank, or status an individual holds within a civil service system.
  • C. roleInPakistan
    Indicates that an entity holds or has held a specific role, position, or function within the context of Pakistan.
  • D. roleInIndustry
    Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
  • E. positionOnGovernmentRole
    Indicates that an entity holds or is assigned to a specific role or office within a government structure.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7d9cc08819084c532b069f867ee completed April 29, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69f0620ac3608190b36916261ea50f54 completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:04 p.m.