Triple

T27064022
Position Surface form Disambiguated ID Type / Status
Subject Irish Gold Cup E685124 entity
Predicate meeting P49217 FINISHED
Object Dublin Racing Festival
The Dublin Racing Festival is a premier two-day National Hunt horse racing event held annually at Leopardstown Racecourse, featuring many of Ireland’s top jump races and horses.
E1754143 NE FINISHED

How this triple was built (2 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: Dublin Racing Festival | Statement: [Irish Gold Cup, meeting, Dublin Racing Festival]
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: Dublin Racing Festival
Triple: [Irish Gold Cup, meeting, Dublin Racing Festival]
Generated description
The Dublin Racing Festival is a premier two-day National Hunt horse racing event held annually at Leopardstown Racecourse, featuring many of Ireland’s top jump races and horses.

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_69ef14835fcc81908bd737b4267ae528 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f622e734a881908ac15e64575c69d4 completed May 2, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123ad3e1508190804d758f3b043492 completed May 23, 2026, 11:40 p.m.
NEDg Description generation batch_6a123b542138819086f001a5c2dcd76b completed May 23, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a123bf84c28819096727646233344f5 completed May 23, 2026, 11:44 p.m.
Created at: April 27, 2026, 8:23 a.m.