Triple

T17801343
Position Surface form Disambiguated ID Type / Status
Subject Nassau Stakes E444433 entity
Predicate notableWinner P2766 FINISHED
Object Nashwa
Nashwa is a top-class British Thoroughbred racehorse known for her Group 1 victories, including major wins against elite international competition.
 E1288241 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: Nashwa | Statement: [Nassau Stakes, notableWinner, Nashwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nashwa
Context triple: [Nassau Stakes, notableWinner, Nashwa]
  • A. Zahwa
    Zahwa is a feminine given name of Arabic origin, often interpreted to mean "radiance" or "beauty."
  • B. Nawda
    Nawda is an indigenous Gur language spoken primarily in parts of Burkina Faso and neighboring West African regions.
  • C. Shawiya
    Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
  • D. Salwa
    Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
  • E. Sawalha
    Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
  • 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: Nashwa
Triple: [Nassau Stakes, notableWinner, Nashwa]
Generated description
Nashwa is a top-class British Thoroughbred racehorse known for her Group 1 victories, including major wins against elite international competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nashwa
Target entity description: Nashwa is a top-class British Thoroughbred racehorse known for her Group 1 victories, including major wins against elite international competition.
  • A. Zahwa
    Zahwa is a feminine given name of Arabic origin, often interpreted to mean "radiance" or "beauty."
  • B. Nawda
    Nawda is an indigenous Gur language spoken primarily in parts of Burkina Faso and neighboring West African regions.
  • C. Shawiya
    Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
  • D. Salwa
    Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
  • E. Sawalha
    Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487ff42108190b82ceb4466aa2dff completed April 19, 2026, 7:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f8429de481909fd0c906e49bacb7 completed May 12, 2026, 9:52 a.m.
NEDg Description generation batch_6a02f8ca36588190a1d5de8494777d61 completed May 12, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a02f9de0ae48190816002a5d32718a1 completed May 12, 2026, 9:58 a.m.
Created at: April 10, 2026, 10:13 a.m.