Triple

T29352628
Position Surface form Disambiguated ID Type / Status
Subject Downing Street, Cambridge E744353 entity
Predicate borders P224 FINISHED
Object University of Cambridge Downing Site
The University of Cambridge Downing Site is a central campus area in Cambridge that houses several of the university’s science departments, museums, and teaching facilities.
 E2297830 NE FINISHED

How this triple was built (2 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: University of Cambridge Downing Site | Statement: [Downing Street, Cambridge, borders, University of Cambridge Downing Site]
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: University of Cambridge Downing Site
Triple: [Downing Street, Cambridge, borders, University of Cambridge Downing Site]
Generated description
The University of Cambridge Downing Site is a central campus area in Cambridge that houses several of the university’s science departments, museums, and teaching facilities.

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_69f0a79a2d748190bc30abd469298b37 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6695d19d48190b710de76e8666504 completed May 2, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83dd1b89b08190b703f29283b28fdf completed Aug. 18, 2026, 4:18 a.m.
NEDg Description generation batch_6a83ddf22d608190bf633b1e4fdce805 completed Aug. 18, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_6a83df0f5098819094a3af5257fb8287 completed Aug. 18, 2026, 4:26 a.m.
Created at: April 28, 2026, 2:07 p.m.