Triple

T1620901
Position Surface form Disambiguated ID Type / Status
Subject Rawalpindi E35027 entity
Predicate timeZone P109 FINISHED
Object Pakistan Standard Time E34584 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: Pakistan Standard Time | Statement: [Rawalpindi, timeZone, Pakistan Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakistan Standard Time
Context triple: [Rawalpindi, timeZone, Pakistan Standard Time]
  • A. Pakistan Standard Time chosen
    Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
  • 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. Indian Standard Time
    Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
  • D. Gulf Standard Time
    Gulf Standard Time is the time zone used by several Gulf countries, including the United Arab Emirates, which is four hours ahead of Coordinated Universal Time (UTC+4) and does not observe daylight saving time.
  • E. Arabia Standard Time
    Arabia Standard Time is the time zone used by several countries on the Arabian Peninsula, including Saudi Arabia, typically corresponding to UTC+3 with no daylight saving time.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909b0738c8190b073e0ccec5e217d completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51d2cbb481908bc74cecdc023547 completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.