Triple

T17700636
Position Surface form Disambiguated ID Type / Status
Subject TJT E441288 entity
Predicate IANAtimeZoneExample P719 FINISHED
Object Asia/Dushanbe 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: Asia/Dushanbe | Statement: [TJT, IANAtimeZoneExample, Asia/Dushanbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia/Dushanbe
Context triple: [TJT, IANAtimeZoneExample, Asia/Dushanbe]
  • A. Asia/Ashgabat
    Asia/Ashgabat is the time zone corresponding to Ashgabat, the capital city of Turkmenistan in Central Asia.
  • B. Uzbekistan Time
    Uzbekistan Time is the standard time zone used across Uzbekistan, set at UTC+5 hours with no daylight saving time.
  • C. Dushanbe chosen
    Dushanbe is the largest city and political, economic, and cultural center of Tajikistan.
  • D. Asia/Aqtobe
    Asia/Aqtobe is a time zone used in western Kazakhstan, centered around the city of Aktobe.
  • E. Afghanistan Time
    Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4715ae1fc81908438a1bba970c6ec completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.