Triple

T12471125
Position Surface form Disambiguated ID Type / Status
Subject All England Lawn Tennis and Croquet Club E298057 entity
Predicate hasVenue P373 FINISHED
Object No. 2 Court
No. 2 Court is a show tennis court at Wimbledon, used for high-level matches during the Championships.
 E985773 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: No. 2 Court | Statement: [All England Lawn Tennis and Croquet Club, hasVenue, No. 2 Court]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: No. 2 Court
Context triple: [All England Lawn Tennis and Croquet Club, hasVenue, No. 2 Court]
  • A. No. 1 Court
    No. 1 Court is a major show court at Wimbledon, renowned for hosting high-profile tennis matches during the Championships.
  • B. Second Court
    Second Court is one of the historic quadrangles of St John’s College, Cambridge, known for its traditional collegiate architecture and central role in college life.
  • C. Second Court
    Second Court is one of the main historic courtyards of Jesus College, Cambridge, around which several of the college’s key buildings are arranged.
  • D. Second Court
    Second Court is one of the main historic courtyards of Christ's College, Cambridge, around which several of the college's buildings are arranged.
  • E. Second Court
    Second Court is one of the main historic quadrangles of Magdalene College, Cambridge, forming part of its traditional collegiate layout.
  • 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: No. 2 Court
Triple: [All England Lawn Tennis and Croquet Club, hasVenue, No. 2 Court]
Generated description
No. 2 Court is a show tennis court at Wimbledon, used for high-level matches during the Championships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: No. 2 Court
Target entity description: No. 2 Court is a show tennis court at Wimbledon, used for high-level matches during the Championships.
  • A. No. 1 Court
    No. 1 Court is a major show court at Wimbledon, renowned for hosting high-profile tennis matches during the Championships.
  • B. Second Court
    Second Court is one of the historic quadrangles of St John’s College, Cambridge, known for its traditional collegiate architecture and central role in college life.
  • C. Second Court
    Second Court is one of the main historic courtyards of Jesus College, Cambridge, around which several of the college’s key buildings are arranged.
  • D. Second Court
    Second Court is one of the main historic courtyards of Christ's College, Cambridge, around which several of the college's buildings are arranged.
  • E. Second Court
    Second Court is one of the main historic quadrangles of Magdalene College, Cambridge, forming part of its traditional collegiate layout.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dba7f6c8190b272f649e0777362 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba3983c8190aef5e3b6a6d2e41e completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c276d388190b58fe884466076ee completed May 2, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69f64ce7b444819094d94bec749d7618 completed May 2, 2026, 7:13 p.m.
Created at: April 8, 2026, 9:56 p.m.