Triple

T13972883
Position Surface form Disambiguated ID Type / Status
Subject Stadium MK E336107 entity
Predicate hasStand P6313 FINISHED
Object South Stand
South Stand is a spectator seating section within Stadium MK, the home ground of Milton Keynes Dons FC in England.
E1071922 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: South Stand | Statement: [Stadium MK, hasStand, South Stand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Stand
Context triple: [Stadium MK, hasStand, South Stand]
  • A. South Stand
    South Stand is a spectator seating section within the Gtech Community Stadium, home to Brentford Football Club in London.
  • B. South Stand
    South Stand is a spectator seating section located on the southern side of Keepmoat Stadium, used by fans attending events there.
  • C. South Stand
    The South Stand is a spectator seating section located behind one of the goals at Swansea.com Stadium, home of Swansea City A.F.C.
  • D. South Stand
    South Stand is a spectator seating section at Easter Road Stadium, home of Hibernian Football Club in Edinburgh, Scotland.
  • E. South Stand
    South Stand is a spectator seating section within the Stadium of Light football stadium in Sunderland, England.
  • 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: South Stand
Triple: [Stadium MK, hasStand, South Stand]
Generated description
South Stand is a spectator seating section within Stadium MK, the home ground of Milton Keynes Dons FC in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: South Stand
Target entity description: South Stand is a spectator seating section within Stadium MK, the home ground of Milton Keynes Dons FC in England.
  • A. South Stand
    South Stand is a spectator seating section located at the southern end of the Madejski Stadium, home to Reading Football Club.
  • B. South Stand
    South Stand is a spectator seating section within the Gtech Community Stadium, home to Brentford Football Club in London.
  • C. South Stand
    South Stand is a spectator seating section at The Recreation Ground sports venue.
  • D. South Stand
    South Stand is a spectator seating section located at one end of the Macron Stadium, home of Bolton Wanderers Football Club.
  • E. South Stand
    South Stand is a spectator seating section located on the southern side of Keepmoat Stadium, used by fans attending events there.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8fd6d48190a157eae8df3a2f3a completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1df334c8190a3d65198cc3d11f6 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba5918348819084fa4235eec6eee0 completed May 6, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69fba6b5e4f4819088e8a0629e17e4cc completed May 6, 2026, 8:38 p.m.
Created at: April 9, 2026, 10:18 p.m.