Triple

T11068785
Position Surface form Disambiguated ID Type / Status
Subject Kempen E261690 entity
Predicate hasUrbanCenters P11388 FINISHED
Object Turnhout E747932 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: Turnhout | Statement: [Kempen, hasUrbanCenters, Turnhout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turnhout
Context triple: [Kempen, hasUrbanCenters, Turnhout]
  • A. Turnhout chosen
    Turnhout is a historic city in northern Belgium known for its playing card industry, cultural heritage, and role as a regional center in the Kempen area.
  • B. Luchteren
    Luchteren is a subdistrict or neighborhood within the Drongen area of Ghent in the Belgian province of East Flanders.
  • C. Roermond
    Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
  • D. Venlo
    Venlo is a historic city in the southeastern Netherlands, located near the German border on the river Meuse and known as a regional economic and logistics hub.
  • E. Kerkrade
    Kerkrade is a town in the southeastern Netherlands, near the German border, known for its mining history and the international music festival WMC Kerkrade.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6554d0b0081909cc031ff06b796c0 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:26 p.m.