Triple

T6301277
Position Surface form Disambiguated ID Type / Status
Subject Betawi Malay E141259 entity
Predicate historicalLocation P3858 FINISHED
Object Batavia E3956 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: Batavia | Statement: [Betawi Malay, historicalLocation, Batavia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batavia
Context triple: [Betawi Malay, historicalLocation, Batavia]
  • A. Batavia chosen
    Batavia was the principal colonial capital of the Dutch East Indies, located on the site of present-day Jakarta in Indonesia.
  • B. Batavia
    Batavia is a small city in western New York State, historically industrial and situated between Buffalo and Rochester along the I-90 corridor.
  • C. Paris van Java
    Paris van Java is a popular nickname for the Indonesian city of Bandung, highlighting its reputation as a fashionable, European-influenced center of shopping, culture, and cool climate tourism.
  • D. 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.
  • E. 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.
  • 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.