Triple

T7711659
Position Surface form Disambiguated ID Type / Status
Subject Naaldwijk E174772 entity
Predicate hasSportsClub P346 FINISHED
Object Westlandia
Westlandia is a Dutch sports club based in Naaldwijk, best known for its amateur football teams competing in regional and national leagues.
E683607 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: Westlandia | Statement: [Naaldwijk, hasSportsClub, Westlandia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westlandia
Context triple: [Naaldwijk, hasSportsClub, Westlandia]
  • A. Genovia
    Genovia is a fictional European principality best known as the royal setting of Meg Cabot’s "The Princess Diaries" series and its film adaptations.
  • B. Freedonia
    Freedonia is the fictional European country featured in the Marx Brothers' classic 1933 comedy film "Duck Soup."
  • C. Zuidland
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • D. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • E. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • 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: Westlandia
Triple: [Naaldwijk, hasSportsClub, Westlandia]
Generated description
Westlandia is a Dutch sports club based in Naaldwijk, best known for its amateur football teams competing in regional and national leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Westlandia
Target entity description: Westlandia is a Dutch sports club based in Naaldwijk, best known for its amateur football teams competing in regional and national leagues.
  • A. Genovia
    Genovia is a fictional European principality best known as the royal setting of Meg Cabot’s "The Princess Diaries" series and its film adaptations.
  • B. Freedonia
    Freedonia is the fictional European country featured in the Marx Brothers' classic 1933 comedy film "Duck Soup."
  • C. Zuidland
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • D. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • E. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ae8b20819096930fe4be41b7be completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8accffffc8190b307ad4741e688a8 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8afc57d6c81909ca6a5a1a5a4efdb completed March 29, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_69c8b04e87e88190a6e37589a31470b4 completed March 29, 2026, 4:53 a.m.
Created at: March 27, 2026, 4:04 p.m.