Triple

T22967076
Position Surface form Disambiguated ID Type / Status
Subject D. R. Gadgil E571074 entity
Predicate familyName P18 FINISHED
Object Gadgil 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: Gadgil | Statement: [D. R. Gadgil, familyName, Gadgil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gadgil
Context triple: [D. R. Gadgil, familyName, Gadgil]
  • A. D. R. Gadgil chosen
    D. R. Gadgil was an Indian economist and planner known for his influential role in shaping India’s economic planning and regional development policies.
  • B. Madhav Gadgil
    Madhav Gadgil is a renowned Indian ecologist and environmentalist known for his pioneering work in biodiversity conservation and for chairing the Western Ghats Ecology Expert Panel.
  • C. Maraimalai Nagar
    Maraimalai Nagar is a suburban industrial and residential town in the Indian state of Tamil Nadu, located near Chennai.
  • D. Kulkarni
    Kulkarni is a traditional village-level official in the Maratha administrative system responsible for maintaining land and revenue records.
  • E. Kosambi
    Kosambi was an important ancient Indian city and political center, noted as a major hub of trade and culture during the Mahajanapada period.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1822f57088190addc6857063b4cca completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.