Triple

T5793393
Position Surface form Disambiguated ID Type / Status
Subject West Bandung Regency E128448 entity
Predicate contains P35 FINISHED
Object Batujajar
Batujajar is a district-level area in West Java, Indonesia, known as part of the suburban and industrial region within West Bandung Regency.
 E546474 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: Batujajar | Statement: [West Bandung Regency, contains, Batujajar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Batujajar
Context triple: [West Bandung Regency, contains, Batujajar]
  • A. Sutan
    Sutan is the given name of Sutan Sjahrir, an influential Indonesian nationalist leader and the country’s first prime minister.
  • B. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • C. Jayabaya
    Jayabaya was a legendary 12th-century king of the Kediri Kingdom in Java, renowned in Indonesian history and folklore for his just rule and prophetic visions.
  • D. Bambang
    Bambang is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • 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: Batujajar
Triple: [West Bandung Regency, contains, Batujajar]
Generated description
Batujajar is a district-level area in West Java, Indonesia, known as part of the suburban and industrial region within West Bandung Regency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Batujajar
Target entity description: Batujajar is a district-level area in West Java, Indonesia, known as part of the suburban and industrial region within West Bandung Regency.
  • A. Sutan
    Sutan is the given name of Sutan Sjahrir, an influential Indonesian nationalist leader and the country’s first prime minister.
  • B. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • C. Jayabaya
    Jayabaya was a legendary 12th-century king of the Kediri Kingdom in Java, renowned in Indonesian history and folklore for his just rule and prophetic visions.
  • D. Bambang
    Bambang is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • 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.