Triple

T299265
Position Surface form Disambiguated ID Type / Status
Subject chicken E6161 entity
Predicate hasCommonBreed P7254 FINISHED
Object Sussex
Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
E61876 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: Sussex | Statement: [chicken, hasCommonBreed, Sussex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sussex
Context triple: [chicken, hasCommonBreed, Sussex]
  • A. East Sussex
    East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
  • B. West Sussex
    West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
  • C. Essex
    Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
  • D. Hampshire
    Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
  • E. Surrey
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to 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: Sussex
Triple: [chicken, hasCommonBreed, Sussex]
Generated description
Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sussex
Target entity description: Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • A. East Sussex
    East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
  • B. West Sussex
    West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
  • C. Essex
    Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
  • D. Hampshire
    Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
  • E. Surrey
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ee002dd0819080f0841eb9107ee3 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481e765b88190a96eb2d5aa108a11 completed March 1, 2026, 6:13 p.m.
NEDg Description generation batch_69a4829d3f848190ad1bb97a5805ec91 completed March 1, 2026, 6:17 p.m.
NED2 Entity disambiguation (via description) batch_69a482eae17481908ceab45b44ee30ab completed March 1, 2026, 6:18 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.