Triple

T16632852
Position Surface form Disambiguated ID Type / Status
Subject Goris E404117 entity
Predicate timeZone P109 FINISHED
Object Armenia Time E57636 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: Armenia Time | Statement: [Goris, timeZone, Armenia Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armenia Time
Context triple: [Goris, timeZone, Armenia Time]
  • A. Armenia Time (AMT) chosen
    Armenia Time (AMT) is the standard time zone used in Armenia, corresponding to UTC+4 hours.
  • B. Azerbaijan Time
    Azerbaijan Time is the standard time zone used throughout Azerbaijan, typically four hours ahead of Coordinated Universal Time (UTC+4).
  • C. Turkmenistan Time
    Turkmenistan Time is the standard time zone used throughout Turkmenistan, corresponding to UTC+5 hours.
  • D. Samara Time
    Samara Time is a time zone used in parts of Russia, including the Samara region, that is three hours ahead of Coordinated Universal Time (UTC+3).
  • E. Yerevan, Armenia
    Yerevan, Armenia is the capital and largest city of Armenia, known for its ancient history, distinctive pink tuff stone architecture, and location in the Ararat Valley near Mount Ararat.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e7d4a48190a9b4a14ecbb2a14b completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbe82b4819093b954567790bef7 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.