Triple

T1281245
Position Surface form Disambiguated ID Type / Status
Subject Hubertus van Mook E27328 entity
Predicate workLocation P7 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: [Hubertus van Mook, workLocation, Batavia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batavia
Context triple: [Hubertus van Mook, workLocation, 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. 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.
  • C. Malacca
    Malacca is a historic Malaysian state on the southwest coast of the Malay Peninsula, renowned for its rich multicultural heritage and its former role as a major trading port.
  • D. Macassar
    Macassar is the former name of Makassar, a major port city on the island of Sulawesi in Indonesia known historically as an important center of trade and maritime power.
  • E. Lombok
    Lombok is an Indonesian island east of Bali, known for its volcanic Mount Rinjani, beaches, and Sasak culture.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b317788190a1672b5ee422a049 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2fd091081908f4a60d7ce300c90 completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:50 p.m.