Triple

T5793395
Position Surface form Disambiguated ID Type / Status
Subject West Bandung Regency E128448 entity
Predicate contains P35 FINISHED
Object Gununghalu
Gununghalu is a district in West Java, Indonesia, known for its rural landscapes and location within West Bandung Regency.
 E546476 NE FINISHED

How this triple was built (4 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: Gununghalu | Statement: [West Bandung Regency, contains, Gununghalu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gununghalu
Context triple: [West Bandung Regency, contains, Gununghalu]
  • A. Hurrungane
    Hurrungane is a rugged mountain range in Norway known for its dramatic peaks and challenging alpine climbing routes.
  • B. Gunbalanya
    Gunbalanya is a remote Aboriginal community and township in Australia's Northern Territory, known for its rich Indigenous culture, rock art, and proximity to Kakadu National Park.
  • C. Gulgong
    Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
  • D. Gubongsan
    Gubongsan is a mountain located in or near the city of Daejeon in South Korea, known for its hiking trails and scenic views.
  • E. Hallasan
    Hallasan is a massive shield volcano and South Korea’s highest mountain, located at the center of Jeju Island and renowned for its crater lake and diverse ecosystems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gununghalu
Triple: [West Bandung Regency, contains, Gununghalu]
Generated description
Gununghalu is a district in West Java, Indonesia, known for its rural landscapes and location within West Bandung Regency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gununghalu
Target entity description: Gununghalu is a district in West Java, Indonesia, known for its rural landscapes and location within West Bandung Regency.
  • A. Hurrungane
    Hurrungane is a rugged mountain range in Norway known for its dramatic peaks and challenging alpine climbing routes.
  • B. Gunbalanya
    Gunbalanya is a remote Aboriginal community and township in Australia's Northern Territory, known for its rich Indigenous culture, rock art, and proximity to Kakadu National Park.
  • C. Gulgong
    Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
  • D. Gubongsan
    Gubongsan is a mountain located in or near the city of Daejeon in South Korea, known for its hiking trails and scenic views.
  • E. Hallasan
    Hallasan is a massive shield volcano and South Korea’s highest mountain, located at the center of Jeju Island and renowned for its crater lake and diverse ecosystems.
  • F. None of above. chosen

Provenance (5 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a905da88190bc710c6743af2d83 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09824c7f0819095565e0f29b3a508 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098a0325c81909a1326b94e40ed50 completed March 23, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69c09943deec819085992c4e44050a34 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:51 p.m.