Triple

T12525335
Position Surface form Disambiguated ID Type / Status
Subject Asia/Aqtobe E299421 entity
Predicate standardTimeName P6292 FINISHED
Object Aktobe Time
Aktobe Time is the time standard observed in the Aktobe region of western Kazakhstan, corresponding to the Asia/Aqtobe time zone.
E988235 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: Aktobe Time | Statement: [Asia/Aqtobe, standardTimeName, Aktobe Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aktobe Time
Context triple: [Asia/Aqtobe, standardTimeName, Aktobe Time]
  • A. Chita Time
    Chita Time is a time zone in eastern Russia that shares the same UTC+9 offset as Yakutsk Time.
  • B. Alaska Time
    Alaska Time is the time zone used by most of the U.S. state of Alaska, offset one hour behind Pacific Time.
  • C. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • D. The Ave
    The Ave is the popular nickname for University Way NE, the central commercial and social hub of Seattle’s University District near the University of Washington.
  • E. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • 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: Aktobe Time
Triple: [Asia/Aqtobe, standardTimeName, Aktobe Time]
Generated description
Aktobe Time is the time standard observed in the Aktobe region of western Kazakhstan, corresponding to the Asia/Aqtobe time zone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aktobe Time
Target entity description: Aktobe Time is the time standard observed in the Aktobe region of western Kazakhstan, corresponding to the Asia/Aqtobe time zone.
  • A. Chita Time
    Chita Time is a time zone in eastern Russia that shares the same UTC+9 offset as Yakutsk Time.
  • B. Alaska Time
    Alaska Time is the time zone used by most of the U.S. state of Alaska, offset one hour behind Pacific Time.
  • C. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • D. The Ave
    The Ave is the popular nickname for University Way NE, the central commercial and social hub of Seattle’s University District near the University of Washington.
  • E. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • 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_69f64bc393808190add527030a928517 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c535c9881908e5bf07d13fa73c5 completed May 2, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f6508afef08190ac7a19b1ee90141e completed May 2, 2026, 7:29 p.m.
Created at: April 8, 2026, 9:57 p.m.