Triple

T20754063
Position Surface form Disambiguated ID Type / Status
Subject Semarang Regency E510803 entity
Predicate hasPart P35 FINISHED
Object Ambarawa District NE NERFINISHED

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: Ambarawa District | Statement: [Semarang Regency, hasPart, Ambarawa District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambarawa District
Context triple: [Semarang Regency, hasPart, Ambarawa District]
  • A. Ambarawa chosen
    Ambarawa is a town in Central Java, Indonesia, known as a historical area near the ancient Gedong Songo Hindu temple complex and former colonial-era military sites.
  • B. Sukoharjo Regency
    Sukoharjo Regency is an administrative region in Central Java, Indonesia, known for its agricultural landscape and proximity to the city of Surakarta (Solo).
  • C. Purwodadi District
    Purwodadi District is an administrative district in East Java, Indonesia, located within Pasuruan Regency.
  • D. Karanganyar Regency
    Karanganyar Regency is an administrative region in Central Java, Indonesia, known for its agricultural landscape, historical sites, and proximity to Mount Lawu.
  • E. Rembang District
    Rembang District is an administrative district within Pasuruan Regency in East Java, Indonesia, known for its predominantly rural communities and agricultural activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22d0ebc8190b17077326f540f98 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.