Triple

T12525345
Position Surface form Disambiguated ID Type / Status
Subject Asia/Aqtobe E299421 entity
Predicate hasSameUtcOffsetAs P8570 FINISHED
Object Asia/Ashgabat
Asia/Ashgabat is the time zone corresponding to Ashgabat, the capital city of Turkmenistan in Central Asia.
E989994 NE FINISHED

How this triple was built (4 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/Ashgabat | Statement: [Asia/Aqtobe, hasSameUtcOffsetAs, Asia/Ashgabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia/Ashgabat
Context triple: [Asia/Aqtobe, hasSameUtcOffsetAs, Asia/Ashgabat]
  • A. Asia/Aqtobe
    Asia/Aqtobe is a time zone used in western Kazakhstan, centered around the city of Aktobe.
  • B. Asia/Ust-Nera
    Asia/Ust-Nera is an IANA time zone identifier used for the Ust-Nera region in Russia’s Sakha Republic.
  • C. Asia/Novokuznetsk
    Asia/Novokuznetsk is an IANA time zone covering the Novokuznetsk region of Russia, aligned with Krasnoyarsk Time (UTC+7).
  • D. Asia/Chita
    Asia/Chita is an IANA time zone identifier representing the local time observed in the Chita region of eastern Russia.
  • E. Asia/Ulaanbaatar
    Asia/Ulaanbaatar is the primary time zone used in Mongolia’s capital city, Ulaanbaatar, and much of the surrounding region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Asia/Ashgabat
Triple: [Asia/Aqtobe, hasSameUtcOffsetAs, Asia/Ashgabat]
Generated description
Asia/Ashgabat is the time zone corresponding to Ashgabat, the capital city of Turkmenistan in Central Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asia/Ashgabat
Target entity description: Asia/Ashgabat is the time zone corresponding to Ashgabat, the capital city of Turkmenistan in Central Asia.
  • A. Asia/Aqtobe
    Asia/Aqtobe is a time zone used in western Kazakhstan, centered around the city of Aktobe.
  • B. Asia/Ust-Nera
    Asia/Ust-Nera is an IANA time zone identifier used for the Ust-Nera region in Russia’s Sakha Republic.
  • C. Asia/Novokuznetsk
    Asia/Novokuznetsk is an IANA time zone covering the Novokuznetsk region of Russia, aligned with Krasnoyarsk Time (UTC+7).
  • D. Asia/Chita
    Asia/Chita is an IANA time zone identifier representing the local time observed in the Chita region of eastern Russia.
  • E. Asia/Ulaanbaatar
    Asia/Ulaanbaatar is the primary time zone used in Mongolia’s capital city, Ulaanbaatar, and much of the surrounding region.
  • F. None of above. chosen

Provenance (5 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655762ae88190ab41e23bbd65c566 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566e7bf88190a33c609caf9b4f3d completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.