Triple

T4630972
Position Surface form Disambiguated ID Type / Status
Subject Schouwen-Duiveland E101414 entity
Predicate hasSettlement P1068 FINISHED
Object Bruinisse E104270 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: Bruinisse | Statement: [Schouwen-Duiveland, hasSettlement, Bruinisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruinisse
Context triple: [Schouwen-Duiveland, hasSettlement, Bruinisse]
  • A. Bruinisse chosen
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • B. Eendracht
    Eendracht was a prominent 17th-century Dutch warship that served as the flagship of the Dutch fleet during major naval engagements of the Anglo-Dutch Wars.
  • C. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • D. Eemnes
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • E. Kraanerg
    Kraanerg is a large-scale avant-garde work for orchestra and tape by Iannis Xenakis, known for its complex rhythms, dense textures, and integration of electronic sound.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a32d6408190962e60b9bce7560d completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfab992148190a1b1dfa33b971d11 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.