Triple

T4191659
Position Surface form Disambiguated ID Type / Status
Subject Eleven Cities Tour E89049 entity
Predicate cityOnRoute P3207 FINISHED
Object Bolsward
Bolsward is a historic Frisian city in the Netherlands known for its well-preserved medieval center and canals.
 E420293 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: Bolsward | Statement: [Eleven Cities Tour, cityOnRoute, Bolsward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bolsward
Context triple: [Eleven Cities Tour, cityOnRoute, Bolsward]
  • A. Guthega
    Guthega is a small alpine village and ski area in New South Wales, Australia, located within the Snowy Mountains and known for its access to snow sports and the nearby Guthega Dam.
  • B. Randaberg
    Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
  • C. Valkenburg
    Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
  • D. Ubbergen
    Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
  • E. Borssum
    Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local 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: Bolsward
Triple: [Eleven Cities Tour, cityOnRoute, Bolsward]
Generated description
Bolsward is a historic Frisian city in the Netherlands known for its well-preserved medieval center and canals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bolsward
Target entity description: Bolsward is a historic Frisian city in the Netherlands known for its well-preserved medieval center and canals.
  • A. Guthega
    Guthega is a small alpine village and ski area in New South Wales, Australia, located within the Snowy Mountains and known for its access to snow sports and the nearby Guthega Dam.
  • B. Randaberg
    Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
  • C. Valkenburg
    Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
  • D. Ubbergen
    Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
  • E. Borssum
    Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0b2db368819080c1d652b4acfd0c completed March 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a08bb6881909bdd7643626e1a64 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58a9497b88190a46afd8b1996fed9 completed March 14, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69b58b26e4208190b4ec30a3b635194b completed March 14, 2026, 4:21 p.m.
Created at: March 9, 2026, 3:46 p.m.