Triple

T3384487
Position Surface form Disambiguated ID Type / Status
Subject Philips Stadion E71262 entity
Predicate hasStand P6313 FINISHED
Object South Stand
South Stand is a spectator seating section within Philips Stadion, the home ground of Dutch football club PSV Eindhoven.
 E354439 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: [Philips Stadion, hasStand, South Stand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: South Stand
Context triple: [Philips Stadion, hasStand, South Stand]
  • A. South Stand
    South Stand is the massive single-tier home end of Tottenham Hotspur Stadium, designed to create an intense, wall-of-sound atmosphere behind one of the goals.
  • B. South Stand
    South Stand is a spectator seating section at East End Park, the home stadium of Dunfermline Athletic Football Club in Scotland.
  • C. South Stand
    South Stand is a spectator seating section at Abbey Stadium, the home ground of Cambridge United FC.
  • D. South Stand
    South Stand is a spectator seating section located at the southern end of the Madejski Stadium, home to Reading Football Club.
  • E. South Stand
    South Stand is a spectator seating section within the Gtech Community Stadium, home to Brentford Football Club in London.
  • 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: [Philips Stadion, hasStand, South Stand]
Generated description
South Stand is a spectator seating section within Philips Stadion, the home ground of Dutch football club PSV Eindhoven.
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 Philips Stadion, the home ground of Dutch football club PSV Eindhoven.
  • 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 located on the southern side of Loftus Versfeld Stadium in Pretoria, South Africa.
  • C. South Stand
    South Stand is a spectator seating section within the Gtech Community Stadium, home to Brentford Football Club in London.
  • D. South Stand
    South Stand is a spectator seating section at East End Park, the home stadium of Dunfermline Athletic Football Club in Scotland.
  • E. South Stand
    South Stand is a spectator seating section within Dublin’s Aviva Stadium, offering views of rugby and football matches and other major events.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ec85d08190b28110157c39435f completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc3f13c81909bec375bd080b7f3 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e45a6c08190a0011eaa60f3d50a completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34eba517881908806b1ac285448ff completed March 12, 2026, 11:39 p.m.
Created at: March 8, 2026, 3:14 p.m.