Triple

T8837436
Position Surface form Disambiguated ID Type / Status
Subject Magetan E210300 entity
Predicate locatedInTimeZone P109 FINISHED
Object WIB E23518 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: WIB | Statement: [Magetan, locatedInTimeZone, WIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIB
Context triple: [Magetan, locatedInTimeZone, WIB]
  • A. Western Indonesian Time chosen
    Western Indonesian Time is the standard time zone used in western parts of Indonesia, including major regions such as Java and Sumatra, set at UTC+7.
  • B. Central Indonesia Time
    Central Indonesia Time is one of Indonesia’s standard time zones, set at UTC+8 and used by regions including Sulawesi, Bali, and parts of Kalimantan and Nusa Tenggara.
  • C. Indonesia Standard Time system
    The Indonesia Standard Time system is the national timekeeping framework that divides Indonesia into multiple official time zones, including Western Indonesian Time.
  • D. Eastern Indonesian Time
    Eastern Indonesian Time is the time zone used in the eastern regions of Indonesia, including areas such as Papua and the Maluku Islands.
  • E. Indochina Time
    Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf898a478c81908f138a78f331b87d completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:48 p.m.