Triple

T8340230
Position Surface form Disambiguated ID Type / Status
Subject South Jakarta E195890 entity
Predicate contains P35 FINISHED
Object Kebayoran Baru E727953 NE FINISHED

How this triple was built (2 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: Kebayoran Baru | Statement: [South Jakarta, contains, Kebayoran Baru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kebayoran Baru
Context triple: [South Jakarta, contains, Kebayoran Baru]
  • A. Kebayoran Baru chosen
    Kebayoran Baru is an upscale administrative district in South Jakarta known for its planned residential neighborhoods, government offices, and commercial centers.
  • B. Pesanggrahan
    Pesanggrahan is a district in South Jakarta, Indonesia, known primarily as a residential area with growing urban development.
  • C. Mampang Prapatan
    Mampang Prapatan is a district in South Jakarta, Indonesia, known as a mixed residential and commercial area with busy thoroughfares and office complexes.
  • D. Menteng
    Menteng is a historic, upscale central district in Jakarta, Indonesia, known for its colonial-era residential architecture and political significance.
  • E. Parung Panjang
    Parung Panjang is a district in Bogor Regency, West Java, Indonesia, known as a growing suburban and industrial area on the outskirts of Greater Jakarta.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ce028586788190b07c601e521eb531 completed April 2, 2026, 5:45 a.m.
Created at: March 30, 2026, 5:57 p.m.