Triple

T5283451
Position Surface form Disambiguated ID Type / Status
Subject Denpasar E119553 entity
Predicate hasDistrict P459 FINISHED
Object Denpasar Utara
Denpasar Utara is a northern administrative district of Denpasar, the capital city of Bali, Indonesia.
E511484 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: Denpasar Utara | Statement: [Denpasar, hasDistrict, Denpasar Utara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denpasar Utara
Context triple: [Denpasar, hasDistrict, Denpasar Utara]
  • A. Denpasar Barat
    Denpasar Barat is a western administrative district of Denpasar, the capital city of Bali, Indonesia, known for its urban residential areas and local commerce.
  • B. Denpasar Timur
    Denpasar Timur is a district in the eastern part of Denpasar, the capital city of Bali, Indonesia.
  • C. Ruteng
    Ruteng is a highland town in western Flores, Indonesia, known as an agricultural and cultural center surrounded by scenic rice terraces and traditional Manggarai villages.
  • D. Denpasar
    Denpasar is the largest city and main economic and cultural hub on the Indonesian island of Bali.
  • E. Gianyar Regency
    Gianyar Regency is a region in central Bali, Indonesia, known for its rich Balinese culture, traditional arts, and the popular tourist town of Ubud.
  • 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: Denpasar Utara
Triple: [Denpasar, hasDistrict, Denpasar Utara]
Generated description
Denpasar Utara is a northern administrative district of Denpasar, the capital city of Bali, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Denpasar Utara
Target entity description: Denpasar Utara is a northern administrative district of Denpasar, the capital city of Bali, Indonesia.
  • A. Denpasar Barat
    Denpasar Barat is a western administrative district of Denpasar, the capital city of Bali, Indonesia, known for its urban residential areas and local commerce.
  • B. Denpasar Timur
    Denpasar Timur is a district in the eastern part of Denpasar, the capital city of Bali, Indonesia.
  • C. Ruteng
    Ruteng is a highland town in western Flores, Indonesia, known as an agricultural and cultural center surrounded by scenic rice terraces and traditional Manggarai villages.
  • D. Denpasar
    Denpasar is the largest city and main economic and cultural hub on the Indonesian island of Bali.
  • E. Gianyar Regency
    Gianyar Regency is a region in central Bali, Indonesia, known for its rich Balinese culture, traditional arts, and the popular tourist town of Ubud.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c8d2bc8190840699e5a526b756 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf187d8a7c8190a8d686393d277bab completed March 21, 2026, 10:15 p.m.
NEDg Description generation batch_69bf198574ec8190b4e142c6c783f377 completed March 21, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69bf19e1b064819091851e975f83e781 completed March 21, 2026, 10:21 p.m.
Created at: March 20, 2026, 1:52 p.m.