Triple

T8306356
Position Surface form Disambiguated ID Type / Status
Subject Husky Stadium E194472 entity
Predicate previousSurface P3424 FINISHED
Object NextTurf
NextTurf is a brand of artificial turf used as a playing surface in sports stadiums and athletic fields.
E724767 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: NextTurf | Statement: [Husky Stadium, previousSurface, NextTurf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NextTurf
Context triple: [Husky Stadium, previousSurface, NextTurf]
  • A. FieldTurf
    FieldTurf is a brand of synthetic turf designed to mimic natural grass and commonly used in sports stadiums and athletic fields.
  • B. Sportsday
    Sportsday is a BBC television sports news programme providing regular updates, highlights, and analysis of major sporting events.
  • C. One Sports
    One Sports is a Philippine free-to-air sports television channel operated by TV5 Network, featuring local and international sporting events.
  • D. SportsNation
    SportsNation is an interactive sports television show that engages fans through polls, social media, and discussion of trending sports topics.
  • E. BTarena
    BTarena is a major indoor multi-purpose sports and events arena located in Cluj-Napoca, Romania.
  • 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: NextTurf
Triple: [Husky Stadium, previousSurface, NextTurf]
Generated description
NextTurf is a brand of artificial turf used as a playing surface in sports stadiums and athletic fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NextTurf
Target entity description: NextTurf is a brand of artificial turf used as a playing surface in sports stadiums and athletic fields.
  • A. FieldTurf
    FieldTurf is a brand of synthetic turf designed to mimic natural grass and commonly used in sports stadiums and athletic fields.
  • B. Sportsday
    Sportsday is a BBC television sports news programme providing regular updates, highlights, and analysis of major sporting events.
  • C. One Sports
    One Sports is a Philippine free-to-air sports television channel operated by TV5 Network, featuring local and international sporting events.
  • D. SportsNation
    SportsNation is an interactive sports television show that engages fans through polls, social media, and discussion of trending sports topics.
  • E. BTarena
    BTarena is a major indoor multi-purpose sports and events arena located in Cluj-Napoca, Romania.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f293db08190912e5e8bb7e940cf completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cda342c10881908ebafc7853815424 completed April 1, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cdab736f208190a90bd4344b21a22c completed April 1, 2026, 11:34 p.m.
Created at: March 30, 2026, 5:54 p.m.