Triple

T20754071
Position Surface form Disambiguated ID Type / Status
Subject Semarang Regency E510803 entity
Predicate hasPart P35 FINISHED
Object Getasan District NE NERFINISHED

How this triple was built (3 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: Getasan District | Statement: [Semarang Regency, hasPart, Getasan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getasan District
Context triple: [Semarang Regency, hasPart, Getasan District]
  • A. Buka District
    Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
  • B. Duji District
    Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
  • C. Rodat District
    Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
  • D. Truk District
    Truk District was a former administrative district of the Trust Territory of the Pacific Islands centered on the Truk (now Chuuk) Lagoon in Micronesia.
  • E. Kuta District
    Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Getasan District
Target entity description: Getasan District is an administrative district in Central Java, Indonesia, located within Semarang Regency and known for its rural highland landscapes near Mount Merbabu.
  • A. Buka District
    Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
  • B. Duji District
    Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
  • C. Rodat District
    Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
  • D. Truk District
    Truk District was a former administrative district of the Trust Territory of the Pacific Islands centered on the Truk (now Chuuk) Lagoon in Micronesia.
  • E. Kuta District
    Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
  • F. None of above. chosen

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.