Triple

T20567601
Position Surface form Disambiguated ID Type / Status
Subject Senayan, Jakarta E505003 entity
Predicate hasLandmark P105 FINISHED
Object SCBD (Sudirman Central Business District) NE NERFINISHED

How this triple was built (3 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: SCBD (Sudirman Central Business District) | Statement: [Senayan, Jakarta, hasLandmark, SCBD (Sudirman Central Business District)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCBD (Sudirman Central Business District)
Context triple: [Senayan, Jakarta, hasLandmark, SCBD (Sudirman Central Business District)]
  • A. Kita business district
    The Kita business district is one of Osaka’s main commercial and office hubs, centered around the Umeda area and known for its dense concentration of businesses, shopping complexes, and transportation links.
  • B. Nai Abadi
    Nai Abadi is a residential neighborhood located within the town of SITE.
  • C. Jababeka Industrial Estate
    Jababeka Industrial Estate is a major planned industrial and business park in Bekasi, Indonesia, hosting numerous manufacturing facilities, logistics centers, and supporting commercial developments.
  • D. Depok Town Square
    Depok Town Square is a major shopping mall and lifestyle center in Depok, Indonesia, featuring a wide range of retail stores, dining options, and entertainment facilities.
  • E. Macan Kemayoran
    Macan Kemayoran is the famous nickname of Indonesian football club Persija Jakarta, reflecting the team's fierce and proud identity rooted in the Kemayoran area of Jakarta.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SCBD (Sudirman Central Business District)
Target entity description: SCBD (Sudirman Central Business District) is a major integrated business and commercial area in Jakarta known for its concentration of office towers, upscale residences, shopping centers, and entertainment venues.
  • A. Kita business district
    The Kita business district is one of Osaka’s main commercial and office hubs, centered around the Umeda area and known for its dense concentration of businesses, shopping complexes, and transportation links.
  • B. Nai Abadi
    Nai Abadi is a residential neighborhood located within the town of SITE.
  • C. Jababeka Industrial Estate
    Jababeka Industrial Estate is a major planned industrial and business park in Bekasi, Indonesia, hosting numerous manufacturing facilities, logistics centers, and supporting commercial developments.
  • D. Depok Town Square
    Depok Town Square is a major shopping mall and lifestyle center in Depok, Indonesia, featuring a wide range of retail stores, dining options, and entertainment facilities.
  • E. Macan Kemayoran
    Macan Kemayoran is the famous nickname of Indonesian football club Persija Jakarta, reflecting the team's fierce and proud identity rooted in the Kemayoran area of Jakarta.
  • F. None of above. chosen

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_69e6a7a3fdc08190a34dcf4c4e51f078 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.