Triple

T5653547
Position Surface form Disambiguated ID Type / Status
Subject Southern Fells E124561 entity
Predicate contains P35 FINISHED
Object Blisco
Blisco is a fell in England's Lake District, known for its rugged slopes and panoramic summit views over the Southern Fells.
E537644 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: Blisco | Statement: [Southern Fells, contains, Blisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blisco
Context triple: [Southern Fells, contains, Blisco]
  • A. Norbit
    Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
  • B. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • C. Roxy
    Roxy is a feminine given name, commonly used as a diminutive or nickname for Roxane or Roxanne.
  • D. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • E. Pugo
    Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
  • 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: Blisco
Triple: [Southern Fells, contains, Blisco]
Generated description
Blisco is a fell in England's Lake District, known for its rugged slopes and panoramic summit views over the Southern Fells.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blisco
Target entity description: Blisco is a fell in England's Lake District, known for its rugged slopes and panoramic summit views over the Southern Fells.
  • A. Norbit
    Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
  • B. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • C. Roxy
    Roxy is a feminine given name, commonly used as a diminutive or nickname for Roxane or Roxanne.
  • D. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • E. Pugo
    Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f7efec8190946c925130176d5a completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d97b8dc8190865ff55071954b30 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ede30088190a70607458f4653d0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb365cc8190b825f7c1d66aee0f completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.