Triple

T16777093
Position Surface form Disambiguated ID Type / Status
Subject Nugegoda E407752 entity
Predicate locatedInTimeZone P109 FINISHED
Object Asia/Colombo E67156 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: Asia/Colombo | Statement: [Nugegoda, locatedInTimeZone, Asia/Colombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia/Colombo
Context triple: [Nugegoda, locatedInTimeZone, Asia/Colombo]
  • A. Sri Lanka Standard Time chosen
    Sri Lanka Standard Time is the time zone used throughout Sri Lanka, set at UTC+5:30.
  • B. Asia/Aden
    Asia/Aden is an IANA time zone identifier representing the standard time observed in Aden, Yemen, within the Asia region.
  • C. Colombo
    Colombo is the largest city and commercial capital of Sri Lanka, historically significant as a key Indian Ocean trading hub.
  • D. Bandaranaike
    Bandaranaike is a prominent Sri Lankan political family best known for producing multiple prime ministers, including the world's first female prime minister, Sirimavo Bandaranaike.
  • E. Lanka
    Lanka is the island kingdom in the Ramayana epic ruled by the demon king Ravana, where Sita is held captive and Rama wages war to rescue her.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b03a646c8190b3944c9f0c25af27 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.