Triple

T34566943
Position Surface form Disambiguated ID Type / Status
Subject Spanish Riding School of Vienna E887516 entity
Predicate breedsHorsesAt P179319 FINISHED
Object Piber Federal Stud
Piber Federal Stud is Austria’s state-run stud farm renowned for breeding the Lipizzaner horses that perform at Vienna’s Spanish Riding School.
 E2102881 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: Piber Federal Stud | Statement: [Spanish Riding School of Vienna, breedsHorsesAt, Piber Federal Stud]
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: Piber Federal Stud
Triple: [Spanish Riding School of Vienna, breedsHorsesAt, Piber Federal Stud]
Generated description
Piber Federal Stud is Austria’s state-run stud farm renowned for breeding the Lipizzaner horses that perform at Vienna’s Spanish Riding School.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: breedsHorsesAt
Context triple: [Spanish Riding School of Vienna, breedsHorsesAt, Piber Federal Stud]
  • A. horseBreed
    Indicates that one entity is a specific breed of the horse represented by the other entity.
  • B. notableHorseBred
    Indicates that one entity is a notable horse that was bred by the other entity.
  • C. horseName
    Indicates that an entity has the specified name of a horse.
  • D. ownedRacehorse
    Indicates that one entity possessed legal ownership of a particular racehorse.
  • E. acquiredHorsesFrom
    Indicates that one entity obtained ownership or control of horses from another entity, typically through purchase, trade, or transfer.
  • F. None of above. chosen

Provenance (7 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_69f349d1a5fc81908557a46875b2f157 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720671b2881909b5f85ea73a7a8fa completed May 3, 2026, 10:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37362c156081909a43c7f2af149de1 completed June 21, 2026, 12:54 a.m.
NEDg Description generation batch_6a37372aa9608190a607c9b4d0c4f978 completed June 21, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a373a7631588190a8fb371e7e7338ac completed June 21, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69f71cc8074c81909ae09bea2acf1a09 completed May 3, 2026, 10 a.m.
PDg Predicate description generation batch_69f71f8df5d48190944fbfbd9d573868 completed May 3, 2026, 10:12 a.m.
Created at: May 1, 2026, 2:02 a.m.