Triple

T22920141
Position Surface form Disambiguated ID Type / Status
Subject Pirates in Batavia E568837 entity
Predicate inspiredBy P9 FINISHED
Object Batavia (Jakarta) NE NERFINISHED

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 (Jakarta) | Statement: [Pirates in Batavia, inspiredBy, Batavia (Jakarta)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batavia (Jakarta)
Context triple: [Pirates in Batavia, inspiredBy, Batavia (Jakarta)]
  • 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. Jakarta
    Jakarta is the bustling capital and largest city of Indonesia, serving as the country’s political, economic, and cultural center on the island of Java.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d40f98819096210c097b47d43b completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:42 p.m.