Triple

T22413969
Position Surface form Disambiguated ID Type / Status
Subject Landerd E554064 entity
Predicate containsVillage P4011 FINISHED
Object Schaijk
Schaijk is a village in the Dutch province of North Brabant, known for its rural character and proximity to nature areas such as De Maashorst.
E1536175 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: Schaijk | Statement: [Landerd, containsVillage, Schaijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schaijk
Context triple: [Landerd, containsVillage, Schaijk]
  • A. Schijndel
    Schijndel is a town in the Dutch province of North Brabant, known for its rural character and location between the cities of ’s-Hertogenbosch and Eindhoven.
  • B. Scherpenisse
    Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
  • C. Schieren
    Schieren is a small commune and town located in central Luxembourg.
  • D. Schinnen
    Schinnen is a village and former municipality in the Dutch province of Limburg, known for its rural character and location in the hilly south of the Netherlands.
  • E. 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.
  • 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: Schaijk
Triple: [Landerd, containsVillage, Schaijk]
Generated description
Schaijk is a village in the Dutch province of North Brabant, known for its rural character and proximity to nature areas such as De Maashorst.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schaijk
Target entity description: Schaijk is a village in the Dutch province of North Brabant, known for its rural character and proximity to nature areas such as De Maashorst.
  • A. Schijndel
    Schijndel is a town in the Dutch province of North Brabant, known for its rural character and location between the cities of ’s-Hertogenbosch and Eindhoven.
  • B. Scherpenisse
    Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
  • C. Schieren
    Schieren is a small commune and town located in central Luxembourg.
  • D. Schinnen
    Schinnen is a village and former municipality in the Dutch province of Limburg, known for its rural character and location in the hilly south of the Netherlands.
  • E. 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.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15945486081908eb3a7b0441c0ef1 completed April 29, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0e99ca48190ad93201035c819d6 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af2c6151881908f85a7c3c751cea9 completed May 18, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0b08e411048190a368214c57c35d5e completed May 18, 2026, 12:41 p.m.
Created at: April 16, 2026, 8:46 p.m.