Triple

T23020752
Position Surface form Disambiguated ID Type / Status
Subject Brunssum E573155 entity
Predicate partOf P40 FINISHED
Object Parkstad Limburg 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: Parkstad Limburg | Statement: [Brunssum, partOf, Parkstad Limburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parkstad Limburg
Context triple: [Brunssum, partOf, Parkstad Limburg]
  • A. Parkstad Limburg chosen
    Parkstad Limburg is a cooperative urban region in the southeastern Netherlands that encompasses several municipalities, including Heerlen, focused on regional planning and economic development.
  • B. Den Bosch
    Den Bosch, officially known as ’s-Hertogenbosch, is a historic Dutch city in the province of North Brabant renowned for its medieval architecture, vibrant cultural scene, and association with painter Hieronymus Bosch.
  • C. Landgraaf
    Landgraaf is a municipality in the Dutch province of Limburg, known for hosting the annual Pinkpop music festival and its popular indoor ski resort SnowWorld.
  • D. Dieburg
    Dieburg is a small historic town in the German state of Hesse, known for its medieval old town and regional administrative role.
  • E. Roermond
    Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e8324c81908b8868d298af66e1 completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.