Triple

T4207234
Position Surface form Disambiguated ID Type / Status
Subject Arend E93811 entity
Predicate fleetCompositionWith P10916 FINISHED
Object Thienhoven E386859 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: Thienhoven | Statement: [Arend, fleetCompositionWith, Thienhoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thienhoven
Context triple: [Arend, fleetCompositionWith, Thienhoven]
  • A. Thienhoven chosen
    Thienhoven was one of the ships in the early 18th-century Dutch expedition led by explorer Jacob Roggeveen during his voyage across the Pacific.
  • B. Schoonhoven
    Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
  • C. Apeldoorn
    Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
  • D. Delft
    Delft is a historic Dutch city in the province of South Holland, renowned for its picturesque canals, Delftware ceramics, and association with the painter Johannes Vermeer.
  • E. Roosendaal
    Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34f7d20b48190a404638c68c31026 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d316e50b548190b5f90a9753ad7cb0 completed April 6, 2026, 2:13 a.m.
Created at: March 12, 2026, 11:03 p.m.