Triple

T5952513
Position Surface form Disambiguated ID Type / Status
Subject Westerveld E132431 entity
Predicate contains P35 FINISHED
Object Wapse
Wapse is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
 E557934 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: Wapse | Statement: [Westerveld, contains, Wapse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wapse
Context triple: [Westerveld, contains, Wapse]
  • A. Wapama
    Wapama was a historic wooden steam schooner built in 1915 that served the West Coast lumber trade and later became a preserved museum ship in San Francisco before being dismantled.
  • B. Wamoon
    Wamoon is a small rural locality in the Riverina region of New South Wales, Australia, situated within the agricultural district surrounding the town of Leeton.
  • C. Waynoka
    Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
  • D. Waipawa
    Waipawa is a small rural service town in New Zealand’s Hawke’s Bay region, known for its agricultural surroundings and historic character.
  • E. Wau
    Wau is a town in Papua New Guinea historically notable as the site of a significant World War II battle between Allied and Japanese forces.
  • 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: Wapse
Triple: [Westerveld, contains, Wapse]
Generated description
Wapse is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wapse
Target entity description: Wapse is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
  • A. Wapama
    Wapama was a historic wooden steam schooner built in 1915 that served the West Coast lumber trade and later became a preserved museum ship in San Francisco before being dismantled.
  • B. Wamoon
    Wamoon is a small rural locality in the Riverina region of New South Wales, Australia, situated within the agricultural district surrounding the town of Leeton.
  • C. Waynoka
    Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
  • D. Waipawa
    Waipawa is a small rural service town in New Zealand’s Hawke’s Bay region, known for its agricultural surroundings and historic character.
  • E. Wau
    Wau is a town in Papua New Guinea historically notable as the site of a significant World War II battle between Allied and Japanese forces.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0e781af588190a8f5572a03b24822 completed March 23, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69c0e7f767f8819086026b95c4534733 completed March 23, 2026, 7:12 a.m.
Created at: March 22, 2026, 4:02 p.m.