Triple

T10372980
Position Surface form Disambiguated ID Type / Status
Subject Basopatti E244429 entity
Predicate locatedInTimeZone P109 FINISHED
Object Asia/Kolkata E5066 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: Asia/Kolkata | Statement: [Basopatti, locatedInTimeZone, Asia/Kolkata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia/Kolkata
Context triple: [Basopatti, locatedInTimeZone, Asia/Kolkata]
  • A. Indian Standard Time chosen
    Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
  • B. Indian Ocean Time
    Indian Ocean Time is a time zone used by several territories in the Indian Ocean region, including islands and coastal areas.
  • C. Bangladesh Standard Time
    Bangladesh Standard Time is the time zone used in Bangladesh, corresponding to UTC+6 hours with no daylight saving time.
  • D. Afghanistan Time
    Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
  • E. Madras Time
    Madras Time was a former local time standard used in the Madras (now Chennai) region of India before the adoption of a unified national time zone.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97f8a148190bb04996132cd464a completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7956469988190b5a9b2dfe062379f completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:02 p.m.