Triple

T2486616
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Suburban district E55940 entity
Predicate locatedInTimeZone P109 FINISHED
Object Indian Standard Time 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: Indian Standard Time | Statement: [Mumbai Suburban district, locatedInTimeZone, Indian Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indian Standard Time
Context triple: [Mumbai Suburban district, locatedInTimeZone, Indian Standard Time]
  • A. Indian Standard Time chosen
    Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
  • B. Bangladesh Standard Time
    Bangladesh Standard Time is the time zone used in Bangladesh, corresponding to UTC+6 hours with no daylight saving time.
  • C. Pakistan Standard Time
    Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
  • D. Sri Lanka Standard Time
    Sri Lanka Standard Time is the time zone used throughout Sri Lanka, set at UTC+5:30.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd17705488190b90b1aa66dd25972 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a8d87c819084637958a5dc4028 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.