Triple

T2184555
Position Surface form Disambiguated ID Type / Status
Subject Zulu time E49120 entity
Predicate alsoKnownAs P39 FINISHED
Object Zulu hour E49120 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: Zulu hour | Statement: [Zulu time, alsoKnownAs, Zulu hour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zulu hour
Context triple: [Zulu time, alsoKnownAs, Zulu hour]
  • A. Zulu time chosen
    Zulu time is a standardized time reference used worldwide—especially in aviation, military, and navigation—corresponding to Coordinated Universal Time (UTC) and denoted by the letter "Z."
  • B. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • C. Madras Time
    Madras Time was a former local time standard used in the Madras (now Chennai) region of India before the adoption of a unified national time zone.
  • D. Bombay Time
    Bombay Time was a former local time standard used in the city of Bombay (now Mumbai) before the adoption of a unified national time across India.
  • E. Calcutta Time
    Calcutta Time was a former local time standard used in Kolkata (then Calcutta) before the adoption of a unified national time zone in India.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf1009788190973cf94db68fbb6b completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da963308190bcd0918b8317b3f6 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.