Triple

T5749720
Position Surface form Disambiguated ID Type / Status
Subject Antwerp Province E126820 entity
Predicate contains P35 FINISHED
Object Turnhout
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.
 E747932 NE FINISHED

How this triple was built (4 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, contains, Turnhout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turnhout
Context triple: [Antwerp Province, contains, Turnhout]
  • A. Roermond
    Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
  • B. 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.
  • C. 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.
  • D. Hasselt
    Hasselt is a city in northeastern Belgium that serves as the capital of the province of Limburg in the Flemish region.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Turnhout
Triple: [Antwerp Province, contains, Turnhout]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turnhout
Target entity description: 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.
  • A. Roermond
    Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
  • B. 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.
  • C. 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.
  • D. Hasselt
    Hasselt is a historic small city in the Dutch province of Overijssel, known for its medieval center and canals.
  • E. Hasselt
    Hasselt is a city in northeastern Belgium that serves as the capital of the province of Limburg in the Flemish region.
  • F. None of above. chosen

Provenance (5 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_69cebaee29308190a468b2bc24008428 completed April 2, 2026, 6:52 p.m.
NEDg Description generation batch_69cebc9d4ca88190942c333806181b55 completed April 2, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69cec0a9c39c8190a7bcecc6927b98f0 completed April 2, 2026, 7:16 p.m.
Created at: March 22, 2026, 3:48 p.m.