Triple

T22244672
Position Surface form Disambiguated ID Type / Status
Subject City Ground E549811 entity
Predicate hasStand P6313 FINISHED
Object Trent End
Trent End is a prominent stand at Nottingham Forest's City Ground stadium, known for housing some of the club’s most passionate supporters.
E1527496 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: Trent End | Statement: [City Ground, hasStand, Trent End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trent End
Context triple: [City Ground, hasStand, Trent End]
  • A. Trent Stevens
    Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
  • B. Treveris
    Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
  • C. Will Trent
    Will Trent is a crime drama television series based on Karin Slaughter’s novels, following a brilliant but dyslexic Georgia Bureau of Investigation agent as he solves complex cases.
  • D. Tyner
    Tyner is the surname of renowned American jazz pianist and composer McCoy Tyner, closely associated with the John Coltrane Quartet and influential modal jazz recordings.
  • E. Trent Kort
    Trent Kort is a recurring fictional CIA operative and sometimes antagonist in the television series "NCIS."
  • 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: Trent End
Triple: [City Ground, hasStand, Trent End]
Generated description
Trent End is a prominent stand at Nottingham Forest's City Ground stadium, known for housing some of the club’s most passionate supporters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trent End
Target entity description: Trent End is a prominent stand at Nottingham Forest's City Ground stadium, known for housing some of the club’s most passionate supporters.
  • A. Trent Stevens
    Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
  • B. Treveris
    Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
  • C. Will Trent
    Will Trent is a crime drama television series based on Karin Slaughter’s novels, following a brilliant but dyslexic Georgia Bureau of Investigation agent as he solves complex cases.
  • D. Tyner
    Tyner is the surname of renowned American jazz pianist and composer McCoy Tyner, closely associated with the John Coltrane Quartet and influential modal jazz recordings.
  • E. Trent Kort
    Trent Kort is a recurring fictional CIA operative and sometimes antagonist in the television series "NCIS."
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132170e5081909b9dbb204abf2a45 completed April 28, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab65a809c8190be94c20c994dcdbb completed May 18, 2026, 6:48 a.m.
NEDg Description generation batch_6a0ab7f904bc81909addafee8773eae0 completed May 18, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab891ba1c81909c9e9a5f29d4eb54 completed May 18, 2026, 6:58 a.m.
Created at: April 16, 2026, 8:38 p.m.