Triple

T6569907
Position Surface form Disambiguated ID Type / Status
Subject Kausalya Nagar E155405 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: [Kausalya Nagar, locatedInTimeZone, Asia/Kolkata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia/Kolkata
Context triple: [Kausalya Nagar, 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae56116c81909ab2fc0877363406 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb964fe48190a28fc50426d7c5d4 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:53 p.m.