Triple

T17013635
Position Surface form Disambiguated ID Type / Status
Subject Rheden E412761 entity
Predicate locatedNear P294 FINISHED
Object Dieren E412762 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: Dieren | Statement: [Rheden, locatedNear, Dieren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dieren
Context triple: [Rheden, locatedNear, Dieren]
  • A. Dieren chosen
    Dieren is a village in the Dutch province of Gelderland, known as a gateway to the Veluwezoom National Park and the surrounding wooded and river landscapes.
  • B. Animals
    Animals is a 1977 concept album by Pink Floyd, largely created by Roger Waters, that presents a dark, politically charged critique of society through extended progressive rock compositions.
  • C. Animals
    "Animals" is a 2013 big-room house track by Dutch DJ and producer Martin Garrix that became an international hit and a defining anthem of the EDM festival era.
  • D. Animals
    Animals is a 2019 independent drama film exploring the hedonistic yet strained friendship between two women in Dublin, starring Holliday Grainger.
  • E. Animals
    "Animals" is a 1941 modernist painting by Mexican artist Rufino Tamayo that depicts stylized, expressive creatures in a vivid, semi-abstract composition.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47dab688190bf486bcf0b40ed4f completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4990948190861ff81f8fc3e8f2 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:33 a.m.