Triple

T5409147
Position Surface form Disambiguated ID Type / Status
Subject Kalikula E120968 entity
Predicate practicedIn P2458 FINISHED
Object Assam region E4843 NE 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: Assam region | Statement: [Kalikula, practicedIn, Assam region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assam region
Context triple: [Kalikula, practicedIn, Assam region]
  • A. Assam chosen
    Assam is a northeastern region of the Indian subcontinent known for its tea plantations, rich biodiversity, and distinct cultural heritage.
  • B. Upper Assam
    Upper Assam is a northeastern region of the Indian state of Assam known for its tea gardens, oil and natural gas reserves, and rich cultural and ecological diversity.
  • C. Northeast India
    Northeast India is a culturally diverse and geographically distinct region of India known for its hilly terrain, rich biodiversity, and unique ethnic communities.
  • D. North Bengal
    North Bengal is a geographic and cultural region in the northern part of the Bengal area, spanning sections of present-day Bangladesh and India and known for its diverse landscapes and agricultural importance.
  • E. Tripura
    Tripura is a small, hilly state in northeastern India known for its diverse tribal cultures, historical palaces, and dense forests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8794e0c4819082bebf2da5e41201 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa3e1988190ac484c91022dc08b completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.