Triple

T14356244
Position Surface form Disambiguated ID Type / Status
Subject Piet Hein Eek E355976 entity
Predicate hasStudioIn P90621 FINISHED
Object Eindhoven E13694 NE FINISHED

How this triple was built (3 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: Eindhoven | Statement: [Piet Hein Eek, hasStudioIn, Eindhoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eindhoven
Context triple: [Piet Hein Eek, hasStudioIn, Eindhoven]
  • A. Eindhoven chosen
    Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
  • B. Tilburg
    Tilburg is a city in the southern Netherlands known historically as an industrial and textile center and now as a regional cultural and educational hub.
  • C. Nijmegen
    Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
  • D. Heerlen
    Heerlen is a city in the southeastern Netherlands known for its mining history and modernist architecture, located in the province of Limburg.
  • E. Utrecht
    Utrecht is a historic city and province in the central Netherlands, known for its medieval old town, canals, and role as a religious and cultural center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStudioIn
Context triple: [Piet Hein Eek, hasStudioIn, Eindhoven]
  • A. hasStudio
    Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
  • B. hasStudiosIn chosen
    Indicates that an entity operates or maintains studio facilities located in a specified place or region.
  • C. hasStudioAlbum
    Indicates that an entity (typically an artist) is associated with or has released a particular studio album.
  • D. hasDesignStudio
    Indicates that an entity owns, operates, or is associated with a design studio.
  • E. collaboratedWithStudio
    Indicates that an entity worked together with a studio on a shared project or production.
  • F. None of above.

Provenance (4 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f519bf881908615f4d47e0f77aa completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3017808190a44087056ba6a472 completed May 9, 2026, 10:23 a.m.
PD Predicate disambiguation batch_69de2a9958e881909d03ac03f135163e completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:15 a.m.