Triple

T12779755
Position Surface form Disambiguated ID Type / Status
Subject Uddingston E305474 entity
Predicate hasCompany P1287 FINISHED
Object Tunnock's
Tunnock's is a famous Scottish confectionery company best known for its caramel wafers and teacakes.
E1003400 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: Tunnock's | Statement: [Uddingston, hasCompany, Tunnock's]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunnock's
Context triple: [Uddingston, hasCompany, Tunnock's]
  • A. Tunnock’s Caramel Wafer Challenge Cup
    The Tunnock’s Caramel Wafer Challenge Cup is a Scottish football knockout competition for lower-league and invited clubs, sponsored by the confectionery company Tunnock’s.
  • B. Rowntree's
    Rowntree's is a historic British confectionery company best known for creating popular sweets such as Smarties, Fruit Pastilles, and KitKat (later acquired by Nestlé).
  • C. Moffat Toffee
    Moffat Toffee is a traditional Scottish boiled sweet from the town of Moffat, noted for its hard exterior and tangy, chewy center.
  • D. The Green and Black
    The Green and Black is the nickname of Western United FC, an Australian professional soccer club competing in the A-League Men.
  • E. Carvel
    Carvel is a fictional small American town that serves as the primary setting for the Andy Hardy film series.
  • 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: Tunnock's
Triple: [Uddingston, hasCompany, Tunnock's]
Generated description
Tunnock's is a famous Scottish confectionery company best known for its caramel wafers and teacakes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tunnock's
Target entity description: Tunnock's is a famous Scottish confectionery company best known for its caramel wafers and teacakes.
  • A. Tunnock’s Caramel Wafer Challenge Cup
    The Tunnock’s Caramel Wafer Challenge Cup is a Scottish football knockout competition for lower-league and invited clubs, sponsored by the confectionery company Tunnock’s.
  • B. Rowntree's
    Rowntree's is a historic British confectionery company best known for creating popular sweets such as Smarties, Fruit Pastilles, and KitKat (later acquired by Nestlé).
  • C. Moffat Toffee
    Moffat Toffee is a traditional Scottish boiled sweet from the town of Moffat, noted for its hard exterior and tangy, chewy center.
  • D. The Green and Black
    The Green and Black is the nickname of Western United FC, an Australian professional soccer club competing in the A-League Men.
  • E. Carvel
    Carvel is a fictional small American town that serves as the primary setting for the Andy Hardy film series.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f685030cbc8190856bf5254e231d25 completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f685dc63f48190bb68f9859e99e3b4 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f68a92226881909600555332c2c370 completed May 2, 2026, 11:36 p.m.
Created at: April 9, 2026, 5:29 p.m.