Triple

T12113648
Position Surface form Disambiguated ID Type / Status
Subject MCR of The Queen's College, Oxford E288498 entity
Predicate hasAbbreviation P43 FINISHED
Object MCR
MCR is the Middle Common Room, the graduate student community and social/academic body at The Queen’s College, Oxford.
 E965422 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: MCR | Statement: [MCR of The Queen's College, Oxford, hasAbbreviation, MCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MCR
Context triple: [MCR of The Queen's College, Oxford, hasAbbreviation, MCR]
  • A. MCR
    The MCR is the Middle Common Room, a postgraduate student community and social organization within Jesus College.
  • B. MCR
    MCR is the abbreviation for the Midland Counties Railway, a historic 19th-century British railway company that operated in the English Midlands.
  • C. MCR
    MCR is the graduate student community and social organization at Trinity College, Oxford, providing academic, social, and welfare support for its members.
  • D. MCD
    MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
  • E. MCD
    MCD is the stock ticker symbol for McDonald’s Corporation, the world’s largest fast-food restaurant chain.
  • 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: MCR
Triple: [MCR of The Queen's College, Oxford, hasAbbreviation, MCR]
Generated description
MCR is the Middle Common Room, the graduate student community and social/academic body at The Queen’s College, Oxford.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MCR
Target entity description: MCR is the Middle Common Room, the graduate student community and social/academic body at The Queen’s College, Oxford.
  • A. MCR
    The MCR is the Middle Common Room, a postgraduate student community and social organization within Jesus College.
  • B. MCR
    MCR is the abbreviation for the Midland Counties Railway, a historic 19th-century British railway company that operated in the English Midlands.
  • C. MCR
    MCR is the graduate student community and social organization at Trinity College, Oxford, providing academic, social, and welfare support for its members.
  • D. MCD
    MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
  • E. MCD
    MCD is the stock ticker symbol for McDonald’s Corporation, the world’s largest fast-food restaurant chain.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156814148190b47d63a89fcab17c completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67d58d08190be45fb49f0084b49 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7385881909ddb86a1d39ff5d4 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ebaa448190ba59485d9d7d68d1 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:49 p.m.