Triple

T7157527
Position Surface form Disambiguated ID Type / Status
Subject Middle Combination Room E166851 entity
Predicate hasAbbreviation P43 FINISHED
Object MCR E487303 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: MCR | Statement: [Middle Combination Room, hasAbbreviation, MCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCR
Context triple: [Middle Combination Room, hasAbbreviation, MCR]
  • A. MCR chosen
    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. 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.
  • D. MCRC
    MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
  • E. MCA
    MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e80f14808190907ee84523630d85 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adbbe8008190b470cf049ba4be52 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.