Triple

T15408191
Position Surface form Disambiguated ID Type / Status
Subject Menen E368517 entity
Predicate hasMunicipalSection P10450 FINISHED
Object Rekkem
Rekkem is a village in the Belgian province of West Flanders that forms a municipal section of the city of Menen near the French border.
E1154316 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: Rekkem | Statement: [Menen, hasMunicipalSection, Rekkem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rekkem
Context triple: [Menen, hasMunicipalSection, Rekkem]
  • A. Onkerzele
    Onkerzele is a village in the Flemish municipality of Geraardsbergen in East Flanders, Belgium.
  • B. Reeshof
    Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
  • C. Reiden
    Reiden is a municipality in the canton of Lucerne in Switzerland, situated along the Wigger river.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Raalte
    Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
  • 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: Rekkem
Triple: [Menen, hasMunicipalSection, Rekkem]
Generated description
Rekkem is a village in the Belgian province of West Flanders that forms a municipal section of the city of Menen near the French border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rekkem
Target entity description: Rekkem is a village in the Belgian province of West Flanders that forms a municipal section of the city of Menen near the French border.
  • A. Onkerzele
    Onkerzele is a village in the Flemish municipality of Geraardsbergen in East Flanders, Belgium.
  • B. Reeshof
    Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
  • C. Reiden
    Reiden is a municipality in the canton of Lucerne in Switzerland, situated along the Wigger river.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Raalte
    Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135bcb5c8190a1f43c6bb6a0e53c completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff141babdc8190bac03e8a294984ce completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff14d3e78881909692d5594bc941d8 completed May 9, 2026, 11:04 a.m.
Created at: April 10, 2026, 3:20 a.m.