Triple

T13760692
Position Surface form Disambiguated ID Type / Status
Subject Weurt lock E330598 entity
Predicate locatedIn P40 FINISHED
Object Weurt
Weurt is a village in the Dutch province of Gelderland, situated just west of the city of Nijmegen along the River Waal.
E1490015 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: Weurt | Statement: [Weurt lock, locatedIn, Weurt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weurt
Context triple: [Weurt lock, locatedIn, Weurt]
  • A. Weert
    Weert is a municipality and city in the southeastern Netherlands known as a regional center in the province of Limburg.
  • B. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • C. Waalwijk
    Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
  • D. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • E. Deurne
    Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
  • 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: Weurt
Triple: [Weurt lock, locatedIn, Weurt]
Generated description
Weurt is a village in the Dutch province of Gelderland, situated just west of the city of Nijmegen along the River Waal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weurt
Target entity description: Weurt is a village in the Dutch province of Gelderland, situated just west of the city of Nijmegen along the River Waal.
  • A. Weert
    Weert is a municipality and city in the southeastern Netherlands known as a regional center in the province of Limburg.
  • B. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • C. Waalwijk
    Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
  • D. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • E. Deurne
    Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0223ab9081909db05334860405e0 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eec4ce9c8190b76efb4d6f038125 completed May 17, 2026, 4:37 p.m.
NEDg Description generation batch_6a09efc6a57c81908c72e794c16989d4 completed May 17, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_6a09f07a090c8190aead09c3b06e0e34 completed May 17, 2026, 4:44 p.m.
Created at: April 9, 2026, 10:09 p.m.