Triple

T5749734
Position Surface form Disambiguated ID Type / Status
Subject Antwerp Province E126820 entity
Predicate hasMunicipality P847 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: [Antwerp Province, hasMunicipality, Turnhout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turnhout
Context triple: [Antwerp Province, hasMunicipality, 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. Roermond
    Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
  • C. 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.
  • D. 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.
  • E. Hasselt
    Hasselt is a historic small city in the Dutch province of Overijssel, known for its medieval center and canals.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288870fc819080e883c9d589359b completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc01e1b88190817a73e580cf4f03 completed April 2, 2026, 8:05 p.m.
Created at: March 22, 2026, 3:48 p.m.