Triple

T17412945
Position Surface form Disambiguated ID Type / Status
Subject Lodhran E423413 entity
Predicate timezone P109 FINISHED
Object Pakistan Standard Time NE NERFINISHED

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: [Lodhran, timezone, Pakistan Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakistan Standard Time
Context triple: [Lodhran, 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. Afghanistan Time
    Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
  • 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. Indian Standard Time
    Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0c12b881908b2ddc13678c7a75 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.