Triple

T20567589
Position Surface form Disambiguated ID Type / Status
Subject Senayan, Jakarta E505003 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Kebayoran Baru District NE NERFINISHED

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 District | Statement: [Senayan, Jakarta, locatedInAdministrativeEntity, Kebayoran Baru District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kebayoran Baru District
Context triple: [Senayan, Jakarta, locatedInAdministrativeEntity, Kebayoran Baru District]
  • 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. Kita District
    Kita District is a historical administrative region in Japan that once formed part of the Nanbu clan’s feudal domain in the Tōhoku area.
  • C. Pesanggrahan
    Pesanggrahan is a district in South Jakarta, Indonesia, known primarily as a residential area with growing urban development.
  • D. Kejayan District
    Kejayan District is an administrative district located within Pasuruan Regency in East Java, Indonesia.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a33f7c8190966da03528dfe8aa completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.