Triple

T1924410
Position Surface form Disambiguated ID Type / Status
Subject Sidgwick Site E40795 entity
Predicate hasFacility P105 FINISHED
Object Buttery and cafeteria
Buttery and cafeteria is a dining facility on the University of Cambridge’s Sidgwick Site that serves food and refreshments to students and staff.
 E214984 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: Buttery and cafeteria | Statement: [Sidgwick Site, hasFacility, Buttery and cafeteria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buttery and cafeteria
Context triple: [Sidgwick Site, hasFacility, Buttery and cafeteria]
  • A. SANDWICH
    SANDWICH is a historic town in Kent, England, known as one of the best-preserved medieval towns in the country.
  • B. Sandwich
    Sandwich is a historic town on Cape Cod in Massachusetts, known as one of the oldest settlements in New England and a popular coastal tourist destination.
  • C. Gourmandises
    Gourmandises is the debut studio album by French pop singer Alizée, known for its catchy electronic pop sound and international hit singles.
  • D. Eater
    Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
  • E. In the French Style
    In the French Style is a 1963 romantic comedy film starring Jean Seberg as an American student experiencing love and life in Paris.
  • 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: Buttery and cafeteria
Triple: [Sidgwick Site, hasFacility, Buttery and cafeteria]
Generated description
Buttery and cafeteria is a dining facility on the University of Cambridge’s Sidgwick Site that serves food and refreshments to students and staff.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buttery and cafeteria
Target entity description: Buttery and cafeteria is a dining facility on the University of Cambridge’s Sidgwick Site that serves food and refreshments to students and staff.
  • A. SANDWICH
    SANDWICH is a historic town in Kent, England, known as one of the best-preserved medieval towns in the country.
  • B. Sandwich
    Sandwich is a historic town on Cape Cod in Massachusetts, known as one of the oldest settlements in New England and a popular coastal tourist destination.
  • C. Gourmandises
    Gourmandises is the debut studio album by French pop singer Alizée, known for its catchy electronic pop sound and international hit singles.
  • D. Eater
    Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
  • E. In the French Style
    In the French Style is a 1963 romantic comedy film starring Jean Seberg as an American student experiencing love and life in Paris.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2359ca0819082b514a34c469b21 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e6678881908d72de7e0f19a648 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf472aca881908d99cf5bfcae3094 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf50d93c88190aa1cbf96526558b6 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.