Triple

T18155155
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan region of Eindhoven E434610 entity
Predicate hasMunicipality P847 FINISHED
Object Asten NE NERFINISHED

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: Asten | Statement: [Metropolitan region of Eindhoven, hasMunicipality, Asten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asten
Context triple: [Metropolitan region of Eindhoven, hasMunicipality, Asten]
  • A. Asten chosen
    Asten is a municipality in the Dutch province of North Brabant, known for its proximity to the De Groote Peel National Park and its rural, nature-rich surroundings.
  • B. Astatke
    Astatke is the surname of Mulatu Astatke, the pioneering Ethiopian musician and composer widely regarded as the father of Ethio-jazz.
  • C. Asen
    Asen was a medieval Bulgarian noble and co-leader, with his brother Peter, of the uprising that restored the Second Bulgarian Empire in the late 12th century.
  • D. Ateso
    Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
  • E. Astún
    Astún is a ski resort in the Spanish Pyrenees known for its alpine terrain and winter sports facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de3b5b788190b011c4eb96a71ffd completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:30 a.m.