Triple

T23649440
Position Surface form Disambiguated ID Type / Status
Subject Royal Randwick Racecourse E584127 entity
Predicate grandstandName P50008 FINISHED
Object Queen Elizabeth II Grandstand
The Queen Elizabeth II Grandstand is a major spectator facility at Sydney’s Royal Randwick Racecourse, offering premium viewing and hospitality for horse racing events.
 E1595926 NE FINISHED

How this triple was built (3 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: Queen Elizabeth II Grandstand | Statement: [Royal Randwick Racecourse, grandstandName, Queen Elizabeth II Grandstand]
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: Queen Elizabeth II Grandstand
Triple: [Royal Randwick Racecourse, grandstandName, Queen Elizabeth II Grandstand]
Generated description
The Queen Elizabeth II Grandstand is a major spectator facility at Sydney’s Royal Randwick Racecourse, offering premium viewing and hospitality for horse racing events.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: grandstandName
Context triple: [Royal Randwick Racecourse, grandstandName, Queen Elizabeth II Grandstand]
  • A. hasGrandstandFeature
    Indicates that something possesses or includes a grandstand-related feature or characteristic.
  • B. hasGrandstandStyle
    Indicates that something is characterized by or associated with a particular style or type of grandstand.
  • C. stadiumOfficialName
    Indicates the formal, legally recognized name assigned to a stadium.
  • D. mainStandName chosen
    Indicates that one entity is the primary or official name of a stand associated with another entity.
  • E. stadiumAlsoKnownAs
    Indicates that a stadium has an alternative name or alias by which it is also known.
  • F. None of above.

Provenance (6 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_69e248fefafc81909656921192f30e80 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b2885b408190a43dfed93309a4d6 completed April 29, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45acbcec8190982a4a6f0b859331 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f47336054819084117d5f59c7b7df completed May 21, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f48771d848190950327a6923eb080 completed May 21, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69f118d7903c8190bb590a71771e93af completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:49 p.m.