Triple

T20300376
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Agriculture, Kabul University E505461 entity
Predicate locatedInTimeZone P109 FINISHED
Object Afghanistan 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: Afghanistan Time | Statement: [Faculty of Agriculture, Kabul University, locatedInTimeZone, Afghanistan Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afghanistan Time
Context triple: [Faculty of Agriculture, Kabul University, locatedInTimeZone, Afghanistan Time]
  • A. Afghanistan Time chosen
    Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
  • B. Tajikistan Time
    Tajikistan Time is the standard time zone used throughout Tajikistan, corresponding to UTC+5 hours with no daylight saving time.
  • C. Uzbekistan Time
    Uzbekistan Time is the standard time zone used across Uzbekistan, set at UTC+5 hours with no daylight saving time.
  • D. Pakistan Standard Time
    Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
  • E. Turkmenistan Time
    Turkmenistan Time is the standard time zone used throughout Turkmenistan, corresponding to UTC+5 hours.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770c700c81909da247cef0d0f1eb completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.