Triple

T12808273
Position Surface form Disambiguated ID Type / Status
Subject Asia/Ust-Nera E306200 entity
Predicate timeZoneAbbreviationStandard P714 FINISHED
Object YAKT E61830 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: YAKT | Statement: [Asia/Ust-Nera, timeZoneAbbreviationStandard, YAKT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YAKT
Context triple: [Asia/Ust-Nera, timeZoneAbbreviationStandard, YAKT]
  • A. YAKT chosen
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • B. YAKST
    YAKST is the time zone abbreviation used for Yakutsk Summer Time in eastern Russia.
  • C. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • D. yka
    yka is the ISO 639-3 language code for the Yakan language spoken by the Yakan people of the southern Philippines.
  • E. Yat
    Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec6556081909375fada79ddcb8c completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.