Triple

T8527157
Position Surface form Disambiguated ID Type / Status
Subject North Jakarta E201845 entity
Predicate contains P35 FINISHED
Object Kelapa Gading
Kelapa Gading is a prominent residential and commercial district in North Jakarta known for its shopping malls, dining scene, and planned urban layout.
 E741874 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: Kelapa Gading | Statement: [North Jakarta, contains, Kelapa Gading]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kelapa Gading
Context triple: [North Jakarta, contains, Kelapa Gading]
  • A. Cipatat
    Cipatat is a district-level administrative area located within West Bandung Regency in West Java, Indonesia.
  • B. Pesanggrahan
    Pesanggrahan is a district in South Jakarta, Indonesia, known primarily as a residential area with growing urban development.
  • C. 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.
  • D. Cilandak
    Cilandak is a district in South Jakarta, Indonesia, known as a primarily residential and commercial area with several educational institutions and office complexes.
  • E. Depok
    Depok is a rapidly growing commuter city in Indonesia located between Jakarta and Bogor, known for its universities and residential developments.
  • 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: Kelapa Gading
Triple: [North Jakarta, contains, Kelapa Gading]
Generated description
Kelapa Gading is a prominent residential and commercial district in North Jakarta known for its shopping malls, dining scene, and planned urban layout.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kelapa Gading
Target entity description: Kelapa Gading is a prominent residential and commercial district in North Jakarta known for its shopping malls, dining scene, and planned urban layout.
  • A. Cipatat
    Cipatat is a district-level administrative area located within West Bandung Regency in West Java, Indonesia.
  • B. Pesanggrahan
    Pesanggrahan is a district in South Jakarta, Indonesia, known primarily as a residential area with growing urban development.
  • C. 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.
  • D. Cilandak
    Cilandak is a district in South Jakarta, Indonesia, known as a primarily residential and commercial area with several educational institutions and office complexes.
  • E. Depok
    Depok is a rapidly growing commuter city in Indonesia located between Jakarta and Bogor, known for its universities and residential developments.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d49c1408190b7c23739409d1e3d completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:16 p.m.