Triple

T11110517
Position Surface form Disambiguated ID Type / Status
Subject Welkenraedt E262741 entity
Predicate hasPopulationCenter P2106 FINISHED
Object Welkenraedt town
Welkenraedt town is the central urban settlement and administrative hub of the municipality of Welkenraedt in the province of Liège, Belgium.
E905669 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: Welkenraedt town | Statement: [Welkenraedt, hasPopulationCenter, Welkenraedt town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welkenraedt town
Context triple: [Welkenraedt, hasPopulationCenter, Welkenraedt town]
  • A. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • B. Warffum
    Warffum is a historic village in the Dutch province of Groningen, known for its traditional architecture and open-air museum showcasing rural life.
  • C. Bottendorf
    Bottendorf is a locality in the German state of Thuringia that historically existed within the German Empire.
  • D. Margraten
    Margraten is a village in the Dutch province of Limburg best known for hosting the Netherlands American Cemetery, a major World War II military burial ground for U.S. soldiers.
  • E. Tombeek
    Tombeek is a village and sub-municipality of Overijse in the Flemish Brabant province of Belgium.
  • 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: Welkenraedt town
Triple: [Welkenraedt, hasPopulationCenter, Welkenraedt town]
Generated description
Welkenraedt town is the central urban settlement and administrative hub of the municipality of Welkenraedt in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Welkenraedt town
Target entity description: Welkenraedt town is the central urban settlement and administrative hub of the municipality of Welkenraedt in the province of Liège, Belgium.
  • A. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • B. Warffum
    Warffum is a historic village in the Dutch province of Groningen, known for its traditional architecture and open-air museum showcasing rural life.
  • C. Bottendorf
    Bottendorf is a locality in the German state of Thuringia that historically existed within the German Empire.
  • D. Margraten
    Margraten is a village in the Dutch province of Limburg best known for hosting the Netherlands American Cemetery, a major World War II military burial ground for U.S. soldiers.
  • E. Tombeek
    Tombeek is a village and sub-municipality of Overijse in the Flemish Brabant province of Belgium.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4307baca48190bbf82f8235d7e2c7 completed April 19, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69e4375eaf448190a17f8df1e83145e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.