Triple

T13852795
Position Surface form Disambiguated ID Type / Status
Subject Yaya Touré E332985 entity
Predicate playedForClub P2168 FINISHED
Object Beveren
Beveren is a Belgian football club known for developing talented players, including future international stars.
 E1113111 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: Beveren | Statement: [Yaya Touré, playedForClub, Beveren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beveren
Context triple: [Yaya Touré, playedForClub, Beveren]
  • A. Beveren
    Beveren is a district of the Belgian city of Roeselare, located in the province of West Flanders.
  • B. Harelbeke
    Harelbeke is a municipality in the Belgian province of West Flanders, known for its historic town center and as a regular host of the E3 Saxo Bank Classic cycling race.
  • C. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • D. Borgerhout
    Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
  • E. Wommelgem
    Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • 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: Beveren
Triple: [Yaya Touré, playedForClub, Beveren]
Generated description
Beveren is a Belgian football club known for developing talented players, including future international stars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beveren
Target entity description: Beveren is a Belgian football club known for developing talented players, including future international stars.
  • A. Beveren
    Beveren is a district of the Belgian city of Roeselare, located in the province of West Flanders.
  • B. Harelbeke
    Harelbeke is a municipality in the Belgian province of West Flanders, known for its historic town center and as a regular host of the E3 Saxo Bank Classic cycling race.
  • C. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • D. Borgerhout
    Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
  • E. Wommelgem
    Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fde15abe6c8190a6212861bbce790e completed May 8, 2026, 1:12 p.m.
NEDg Description generation batch_69fde41944f4819099f41860272bca49 completed May 8, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69fde4981c98819092e30a61892a6e78 completed May 8, 2026, 1:26 p.m.
Created at: April 9, 2026, 10:14 p.m.