Triple

T6301294
Position Surface form Disambiguated ID Type / Status
Subject Betawi Malay E141259 entity
Predicate region P40 FINISHED
Object Jabodetabek E143874 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: Jabodetabek | Statement: [Betawi Malay, region, Jabodetabek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jabodetabek
Context triple: [Betawi Malay, region, Jabodetabek]
  • A. Greater Jakarta chosen
    Greater Jakarta is Indonesia’s largest metropolitan area, encompassing Jakarta and its surrounding cities and suburbs as the country’s primary political, economic, and urban hub.
  • B. North Jakarta
    North Jakarta is a coastal administrative city of Indonesia’s capital region, known for its busy port, industrial zones, and historic waterfront areas.
  • C. East Jakarta
    East Jakarta is one of the administrative cities of Indonesia’s capital, Jakarta, known for its mix of residential areas, industrial zones, and transportation hubs.
  • D. South Jakarta
    South Jakarta is a municipality in the southern part of Indonesia’s capital region, known for its upscale residential areas, business districts, and shopping and entertainment centers.
  • E. Tangerang
    Tangerang is a major urban and industrial city in Indonesia located just west of Jakarta on the island of Java.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645bb41481909294b06e2b3e1845 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603fb43688190839af2ffea45df90 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:27 p.m.