Triple

T13456318
Position Surface form Disambiguated ID Type / Status
Subject Turkmenistan Time E311241 entity
Predicate hasSameUTCoffsetAs P8570 FINISHED
Object Tajikistan Time E481018 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: Tajikistan Time | Statement: [Turkmenistan Time, hasSameUTCoffsetAs, Tajikistan Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tajikistan Time
Context triple: [Turkmenistan Time, hasSameUTCoffsetAs, Tajikistan Time]
  • A. Uzbekistan Time chosen
    Uzbekistan Time is the standard time zone used across Uzbekistan, set at UTC+5 hours with no daylight saving time.
  • B. Turkmenistan Time
    Turkmenistan Time is the standard time zone used throughout Turkmenistan, corresponding to UTC+5 hours.
  • C. Afghanistan Time
    Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
  • D. Kyrgyzstan Time
    Kyrgyzstan Time is the standard time zone used throughout Kyrgyzstan, corresponding to UTC+6 with no daylight saving time.
  • E. Azerbaijan Time
    Azerbaijan Time is the standard time zone used throughout Azerbaijan, typically four hours ahead of Coordinated Universal Time (UTC+4).
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462522c88190a6a6e2e2292e2414 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.