Triple

T3758842
Position Surface form Disambiguated ID Type / Status
Subject Arabia Standard Time E82112 entity
Predicate IANAZoneExample P719 FINISHED
Object Asia/Amman
Asia/Amman is the IANA time zone identifier representing local time in Amman, Jordan.
 E15311 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/Amman | Statement: [Arabia Standard Time, IANAZoneExample, Asia/Amman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asia/Amman
Context triple: [Arabia Standard Time, IANAZoneExample, Asia/Amman]
  • A. Arabia Standard Time
    Arabia Standard Time is the time zone used by several countries on the Arabian Peninsula, including Saudi Arabia, typically corresponding to UTC+3 with no daylight saving time.
  • B. Amman
    Amman is the capital and largest city of Jordan, serving as a major political, economic, and cultural center in the Arab world.
  • C. Gulf Standard Time
    Gulf Standard Time is the time zone used by several Gulf countries, including the United Arab Emirates, which is four hours ahead of Coordinated Universal Time (UTC+4) and does not observe daylight saving time.
  • D. Asia/Aqtobe
    Asia/Aqtobe is a time zone used in western Kazakhstan, centered around the city of Aktobe.
  • E. Sharq
    Sharq is a prominent commercial and administrative district in Kuwait City known for its waterfront developments, shopping centers, and modern urban landscape.
  • 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/Amman
Triple: [Arabia Standard Time, IANAZoneExample, Asia/Amman]
Generated description
Asia/Amman is the IANA time zone identifier representing local time in Amman, Jordan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asia/Amman
Target entity description: Asia/Amman is the IANA time zone identifier representing local time in Amman, Jordan.
  • A. Arabia Standard Time
    Arabia Standard Time is the time zone used by several countries on the Arabian Peninsula, including Saudi Arabia, typically corresponding to UTC+3 with no daylight saving time.
  • B. Amman chosen
    Amman is the capital and largest city of Jordan, serving as a major political, economic, and cultural center in the Arab world.
  • C. Gulf Standard Time
    Gulf Standard Time is the time zone used by several Gulf countries, including the United Arab Emirates, which is four hours ahead of Coordinated Universal Time (UTC+4) and does not observe daylight saving time.
  • D. Asia/Aqtobe
    Asia/Aqtobe is a time zone used in western Kazakhstan, centered around the city of Aktobe.
  • E. Sharq
    Sharq is a prominent commercial and administrative district in Kuwait City known for its waterfront developments, shopping centers, and modern urban landscape.
  • F. None of above.

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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc20b20819095fedf803aadc53a completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5133ba48190a18ea170e3b9e1cd completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e62d284881908531b93645649f45 completed March 14, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69b4ea2b19e48190864d2114603865ed completed March 14, 2026, 4:55 a.m.
Created at: March 8, 2026, 3:35 p.m.