Triple

T18526151
Position Surface form Disambiguated ID Type / Status
Subject Bandung Regency E452722 entity
Predicate contains P35 FINISHED
Object Baleendah 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: Baleendah District | Statement: [Bandung Regency, contains, Baleendah District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baleendah District
Context triple: [Bandung Regency, contains, Baleendah District]
  • A. Airin district
    Airin district is a poverty-stricken area in Osaka’s Nishinari Ward known for its large day-laborer population, cheap lodging houses, and visible homelessness.
  • B. Ngantang District
    Ngantang District is an administrative district in East Java, Indonesia, known for its highland landscapes and the presence of the Selorejo Dam and reservoir.
  • C. Tanah Merah District
    Tanah Merah District is an administrative district in Kelantan, Malaysia, known for its predominantly rural communities and agricultural-based economy.
  • D. Prawet District
    Prawet District is a residential and commercial district in eastern Bangkok, Thailand, known for its transport links and growing urban development.
  • E. Regen District
    Regen District is an administrative district in the Bavarian Forest region of Bavaria, Germany, known for its wooded landscapes and proximity to the Czech border.
  • 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: Baleendah District
Target entity description: Baleendah District is an administrative district in West Java, Indonesia, located within the Bandung metropolitan area and known for its dense settlements and frequent river flooding.
  • A. Airin district
    Airin district is a poverty-stricken area in Osaka’s Nishinari Ward known for its large day-laborer population, cheap lodging houses, and visible homelessness.
  • B. Ngantang District
    Ngantang District is an administrative district in East Java, Indonesia, known for its highland landscapes and the presence of the Selorejo Dam and reservoir.
  • C. Tanah Merah District
    Tanah Merah District is an administrative district in Kelantan, Malaysia, known for its predominantly rural communities and agricultural-based economy.
  • D. Prawet District
    Prawet District is a residential and commercial district in eastern Bangkok, Thailand, known for its transport links and growing urban development.
  • E. Regen District
    Regen District is an administrative district in the Bavarian Forest region of Bavaria, Germany, known for its wooded landscapes and proximity to the Czech border.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53392618c8190b44de46b80ee6a6d completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.