Triple

T15364972
Position Surface form Disambiguated ID Type / Status
Subject Gandangara E367387 entity
Predicate alsoKnownAs P39 FINISHED
Object Gundungara E947665 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: Gundungara | Statement: [Gandangara, alsoKnownAs, Gundungara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gundungara
Context triple: [Gandangara, alsoKnownAs, Gundungara]
  • A. Melawi
    Melawi is a regency-level administrative area in the interior of West Kalimantan, Indonesia, known for its riverine landscapes and predominantly Dayak communities.
  • B. Kutoarjo
    Kutoarjo is a town in Central Java, Indonesia, known as a regional transport hub and local commercial center.
  • C. Singasandra
    Singasandra is a rapidly developing residential and commercial suburb in the southern part of Bengaluru, Karnataka, known for its proximity to major IT hubs and good road connectivity.
  • D. Narungga chosen
    Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
  • E. Tampaksiring
    Tampaksiring is a town in central Bali, Indonesia, known for its sacred Tirta Empul water temple and nearby presidential palace.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4544d5008190ba479a6c56cedc20 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:18 a.m.