Triple

T29032187
Position Surface form Disambiguated ID Type / Status
Subject Merton College historic quadrangle complex E737757 entity
Predicate hasPart P35 FINISHED
Object Merton College Hall
Merton College Hall is the historic medieval dining hall of Merton College, Oxford, renowned as one of the oldest continuously used college halls in the University of Oxford.
E1848214 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: Merton College Hall | Statement: [Merton College historic quadrangle complex, hasPart, Merton College Hall]
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: Merton College Hall
Triple: [Merton College historic quadrangle complex, hasPart, Merton College Hall]
Generated description
Merton College Hall is the historic medieval dining hall of Merton College, Oxford, renowned as one of the oldest continuously used college halls in the University of Oxford.

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_69f077ef00fc81909325f084ad37c035 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f6603a0d14819090b1221d94fc5d66 completed May 2, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f695ca481908026b9ea02c85ca7 completed June 7, 2026, 7:36 a.m.
NEDg Description generation batch_6a2523b0c0c88190a727ea6cd5397cf4 completed June 7, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_6a252859f9a48190ba90cb0e5ada581c completed June 7, 2026, 8:14 a.m.
Created at: April 28, 2026, 9:56 a.m.