Triple

T8404049
Position Surface form Disambiguated ID Type / Status
Subject East Jakarta E198448 entity
Predicate hasNotableArea P494 FINISHED
Object Duren Sawit
Duren Sawit is a populous urban district in East Jakarta, Indonesia, known for its residential neighborhoods and growing commercial areas.
 E732521 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: Duren Sawit | Statement: [East Jakarta, hasNotableArea, Duren Sawit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duren Sawit
Context triple: [East Jakarta, hasNotableArea, Duren Sawit]
  • A. Sengkang
    Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
  • B. Cilandak
    Cilandak is a district in South Jakarta, Indonesia, known as a primarily residential and commercial area with several educational institutions and office complexes.
  • C. Betawi
    Betawi is an Austronesian language spoken primarily by the Betawi people in and around Jakarta, Indonesia, and is closely associated with the city's urban culture and history.
  • D. Dipatiukur
    Dipatiukur is a central urban area in Bandung, Indonesia, known for hosting one of Universitas Padjadjaran’s main campuses and its surrounding student-oriented neighborhood.
  • E. Pasir Mas
    Pasir Mas is a town in the Malaysian state of Kelantan, known as a local commercial and transport hub near the border with Thailand.
  • 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: Duren Sawit
Triple: [East Jakarta, hasNotableArea, Duren Sawit]
Generated description
Duren Sawit is a populous urban district in East Jakarta, Indonesia, known for its residential neighborhoods and growing commercial areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duren Sawit
Target entity description: Duren Sawit is a populous urban district in East Jakarta, Indonesia, known for its residential neighborhoods and growing commercial areas.
  • A. Sengkang
    Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
  • B. Cilandak
    Cilandak is a district in South Jakarta, Indonesia, known as a primarily residential and commercial area with several educational institutions and office complexes.
  • C. Betawi
    Betawi is an Austronesian language spoken primarily by the Betawi people in and around Jakarta, Indonesia, and is closely associated with the city's urban culture and history.
  • D. Dipatiukur
    Dipatiukur is a central urban area in Bandung, Indonesia, known for hosting one of Universitas Padjadjaran’s main campuses and its surrounding student-oriented neighborhood.
  • E. Pasir Mas
    Pasir Mas is a town in the Malaysian state of Kelantan, known as a local commercial and transport hub near the border with Thailand.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb82505e0c81909549db59b7c4eb00 completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02ece0a88190bf64abaa8d202de3 completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce077f25648190b9a95fb72f5b4f8c completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08e192088190ad8170b1bedd568d completed April 2, 2026, 6:12 a.m.
Created at: March 30, 2026, 6:04 p.m.