Triple

T5940138
Position Surface form Disambiguated ID Type / Status
Subject Stormers E132145 entity
Predicate represents P129 FINISHED
Object Boland
Boland is a rugby union region in South Africa whose teams and players are partly represented at the professional level by the Stormers franchise.
 E555286 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: Boland | Statement: [Stormers, represents, Boland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boland
Context triple: [Stormers, represents, Boland]
  • A. Noland
    Noland is a surname most notably associated with Kenneth Noland, an influential American abstract painter linked to the Color Field movement.
  • B. Sholto
    Sholto is a masculine given name of Scottish origin, historically associated with figures such as military leaders and nobles.
  • C. Bosteros
    Bosteros is a popular nickname for supporters and players of the Argentine football club Boca Juniors, reflecting the club’s working-class roots and passionate fan culture.
  • D. Lobethal
    Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
  • E. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • 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: Boland
Triple: [Stormers, represents, Boland]
Generated description
Boland is a rugby union region in South Africa whose teams and players are partly represented at the professional level by the Stormers franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boland
Target entity description: Boland is a rugby union region in South Africa whose teams and players are partly represented at the professional level by the Stormers franchise.
  • A. Noland
    Noland is a surname most notably associated with Kenneth Noland, an influential American abstract painter linked to the Color Field movement.
  • B. Sholto
    Sholto is a masculine given name of Scottish origin, historically associated with figures such as military leaders and nobles.
  • C. Bosteros
    Bosteros is a popular nickname for supporters and players of the Argentine football club Boca Juniors, reflecting the club’s working-class roots and passionate fan culture.
  • D. Lobethal
    Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
  • E. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038f101c081908fb530d2f1f358fc completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c079dfe4819097598ec1f564e810 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c154b148819099d6f601e3a542aa completed March 23, 2026, 4:28 a.m.
NED2 Entity disambiguation (via description) batch_69c0c1df5b1c8190824d40d7f24c60cd completed March 23, 2026, 4:30 a.m.
Created at: March 22, 2026, 4:01 p.m.