Triple

T16576578
Position Surface form Disambiguated ID Type / Status
Subject Frisian Islands E402726 entity
Predicate hasMajorIsland P756 FINISHED
Object Vlieland E405468 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: Vlieland | Statement: [Frisian Islands, hasMajorIsland, Vlieland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vlieland
Context triple: [Frisian Islands, hasMajorIsland, Vlieland]
  • A. Vlieland chosen
    Vlieland is a sparsely populated Dutch Wadden Sea island known for its wide beaches, dunes, and car-free, nature-focused tourism.
  • B. Ameland
    Ameland is a Dutch Wadden Sea island known for its sandy beaches, dunes, and nature reserves, popular as a holiday destination in the northern Netherlands.
  • C. Texel
    Texel is the largest and most populated of the West Frisian Islands off the northwestern coast of the Netherlands, known for its beaches, dunes, and nature reserves.
  • D. Schouwen-Duiveland island
    Schouwen-Duiveland island is a Dutch North Sea island in the province of Zeeland, known for its coastal landscapes, beaches, and role in the Delta Works flood protection system.
  • E. Veendam
    Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3595dd90881909933216bd12505e1 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007595cfd08190bae54d29427a1d3c completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:16 a.m.