Triple

T10029477
Position Surface form Disambiguated ID Type / Status
Subject Parahyangan E204815 entity
Predicate hasPart P35 FINISHED
Object Bandung Basin E546486 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: Bandung Basin | Statement: [Parahyangan, hasPart, Bandung Basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandung Basin
Context triple: [Parahyangan, hasPart, Bandung Basin]
  • A. Parahyangan Plateau chosen
    The Parahyangan Plateau is a highland region in West Java, Indonesia, known for its volcanic landscapes, cool climate, and dense population centers including the city of Bandung.
  • B. Toba Highlands
    Toba Highlands is a volcanic highland region in North Sumatra, Indonesia, known for its dramatic landscapes surrounding Lake Toba and its rich Batak cultural heritage.
  • C. Kedu Plain
    Kedu Plain is a fertile agricultural lowland in Central Java, Indonesia, known for its volcanic soil and proximity to major historical sites such as Borobudur.
  • D. Toba Batak
    Toba Batak is an Austronesian language spoken primarily by the Toba Batak people of North Sumatra, Indonesia.
  • E. Toba Kakar area
    The Toba Kakar area is a mountainous region in western Pakistan’s Balochistan province, forming part of the Toba Kakar Range near the Afghan border.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde69bd08190a5c79ec8487dfff6 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282351ebc8190b22bf3964823b0ee completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.