Triple

T5893309
Position Surface form Disambiguated ID Type / Status
Subject Best E131041 entity
Predicate borderedBy P224 FINISHED
Object Oirschot
Oirschot is a historic municipality and town in the Dutch province of North Brabant, known for its well-preserved medieval center and cultural heritage.
 E814902 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: Oirschot | Statement: [Best, borderedBy, Oirschot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oirschot
Context triple: [Best, borderedBy, Oirschot]
  • A. Valkenswaard
    Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
  • B. Papendrecht
    Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
  • C. ’s-Hertogenbosch
    ’s-Hertogenbosch is a historic Dutch city known for its medieval center, Gothic St. John’s Cathedral, and rich cultural heritage in the southern Netherlands.
  • D. Nijkerk
    Nijkerk is a historic town and municipality in the Dutch province of Gelderland in the central Netherlands.
  • E. Doetinchem
    Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
  • 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: Oirschot
Triple: [Best, borderedBy, Oirschot]
Generated description
Oirschot is a historic municipality and town in the Dutch province of North Brabant, known for its well-preserved medieval center and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oirschot
Target entity description: Oirschot is a historic municipality and town in the Dutch province of North Brabant, known for its well-preserved medieval center and cultural heritage.
  • A. Valkenswaard
    Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
  • B. Papendrecht
    Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
  • C. ’s-Hertogenbosch
    ’s-Hertogenbosch is a historic Dutch city known for its medieval center, Gothic St. John’s Cathedral, and rich cultural heritage in the southern Netherlands.
  • D. Nijkerk
    Nijkerk is a historic town and municipality in the Dutch province of Gelderland in the central Netherlands.
  • E. Doetinchem
    Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b5c68481909fdcba428238c74d completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190aa70f0819088998b0e895ea36a completed April 4, 2026, 10:28 p.m.
NEDg Description generation batch_69d19302a780819084577a794cc8bf67 completed April 4, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69d193da01748190843de1d1f2731cd3 completed April 4, 2026, 10:42 p.m.
Created at: March 22, 2026, 3:58 p.m.