Triple

T3384413
Position Surface form Disambiguated ID Type / Status
Subject PSV Eindhoven E71261 entity
Predicate nickname P55 FINISHED
Object Boeren
Boeren is a popular nickname for PSV Eindhoven, one of the Netherlands’ most successful professional football clubs.
 E352788 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: Boeren | Statement: [PSV Eindhoven, nickname, Boeren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boeren
Context triple: [PSV Eindhoven, nickname, Boeren]
  • A. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • B. Benschop
    Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • C. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • D. Frits
    Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
  • E. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • 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: Boeren
Triple: [PSV Eindhoven, nickname, Boeren]
Generated description
Boeren is a popular nickname for PSV Eindhoven, one of the Netherlands’ most successful professional football clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boeren
Target entity description: Boeren is a popular nickname for PSV Eindhoven, one of the Netherlands’ most successful professional football clubs.
  • A. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • B. Benschop
    Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • C. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • D. Frits
    Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
  • E. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ec85d08190b28110157c39435f completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33452d79081909bf6955289e0dece completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334f75e708190aed8b388c9ea55d2 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3359ab56881908e247ba54c7dd6c7 completed March 12, 2026, 9:52 p.m.
Created at: March 8, 2026, 3:14 p.m.