Triple

T8340236
Position Surface form Disambiguated ID Type / Status
Subject South Jakarta E195890 entity
Predicate contains P35 FINISHED
Object Pesanggrahan
Pesanggrahan is a district in South Jakarta, Indonesia, known primarily as a residential area with growing urban development.
 E730313 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: Pesanggrahan | Statement: [South Jakarta, contains, Pesanggrahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pesanggrahan
Context triple: [South Jakarta, contains, Pesanggrahan]
  • A. Menteng
    Menteng is a historic, upscale central district in Jakarta, Indonesia, known for its colonial-era residential architecture and political significance.
  • B. Cipinang
    Cipinang is a neighborhood in East Jakarta, Indonesia, known for housing one of the country’s main prisons and various urban residential and commercial areas.
  • C. Jagakarsa
    Jagakarsa is a district in the southern part of Jakarta, Indonesia, known for its relatively green residential areas and educational institutions.
  • D. Cipatat
    Cipatat is a district-level administrative area located within West Bandung Regency in West Java, Indonesia.
  • E. Jatinegara
    Jatinegara is a district in East Jakarta, Indonesia, known as a densely populated urban area with significant transportation hubs and historical sites.
  • 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: Pesanggrahan
Triple: [South Jakarta, contains, Pesanggrahan]
Generated description
Pesanggrahan is a district in South Jakarta, Indonesia, known primarily as a residential area with growing urban development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pesanggrahan
Target entity description: Pesanggrahan is a district in South Jakarta, Indonesia, known primarily as a residential area with growing urban development.
  • A. Menteng
    Menteng is a historic, upscale central district in Jakarta, Indonesia, known for its colonial-era residential architecture and political significance.
  • B. Cipinang
    Cipinang is a neighborhood in East Jakarta, Indonesia, known for housing one of the country’s main prisons and various urban residential and commercial areas.
  • C. Jagakarsa
    Jagakarsa is a district in the southern part of Jakarta, Indonesia, known for its relatively green residential areas and educational institutions.
  • D. Cipatat
    Cipatat is a district-level administrative area located within West Bandung Regency in West Java, Indonesia.
  • E. Jatinegara
    Jatinegara is a district in East Jakarta, Indonesia, known as a densely populated urban area with significant transportation hubs and historical sites.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd7a3888190b54306ed862aded4 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde79e916c8190afc90c3b12c68caf completed April 2, 2026, 3:50 a.m.
NEDg Description generation batch_69cdec234ad8819080868076efdbe22c completed April 2, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 5:57 p.m.