Triple

T7363414
Position Surface form Disambiguated ID Type / Status
Subject Sunda Kelapa E169807 entity
Predicate partOf P40 FINISHED
Object Jakarta Old Town E169814 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: Jakarta Old Town | Statement: [Sunda Kelapa, partOf, Jakarta Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakarta Old Town
Context triple: [Sunda Kelapa, partOf, Jakarta Old Town]
  • A. Kota Tua Jakarta chosen
    Kota Tua Jakarta is Jakarta’s historic old town district, known for its preserved Dutch colonial architecture, museums, and vibrant public squares.
  • B. Sunda Kelapa
    Sunda Kelapa is the historic old port area of Jakarta, Indonesia, known as a key trading hub in the region since precolonial times.
  • C. Pasar Gede
    Pasar Gede is a historic central market in Surakarta (Solo), Indonesia, known for its traditional Javanese architecture and wide variety of local foods and goods.
  • D. Old Banten
    Old Banten is the historic former capital and port city of the Banten Sultanate in western Java, known for its archaeological remains and role as a major trading hub in the 16th–17th centuries.
  • E. Semarang Old Port area
    The Semarang Old Port area is a historic waterfront district in Semarang, Indonesia, that once served as a key colonial-era trading hub and gateway for maritime commerce.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1603e1481909fb1dce2c9a7c577 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab704008190ad07e12ead1a13ed completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.