Triple

T10297834
Position Surface form Disambiguated ID Type / Status
Subject Marlborough College E241542 entity
Predicate hasAbbreviation P43 FINISHED
Object MC
MC is the commonly used abbreviation for Marlborough College, a prestigious independent boarding and day school in Wiltshire, England.
 E856073 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: MC | Statement: [Marlborough College, hasAbbreviation, MC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MC
Context triple: [Marlborough College, hasAbbreviation, MC]
  • A. MC
    MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
  • B. MC
    MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
  • C. MC
    MC is the Italian vehicle registration code assigned to the province of Macerata in the Marche region.
  • D. MC
    MC is the two-letter ISO 3166 country code for Monaco, the small sovereign city-state on the French Riviera known for its wealth, casinos, and the Monte Carlo district.
  • E. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • 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: MC
Triple: [Marlborough College, hasAbbreviation, MC]
Generated description
MC is the commonly used abbreviation for Marlborough College, a prestigious independent boarding and day school in Wiltshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MC
Target entity description: MC is the commonly used abbreviation for Marlborough College, a prestigious independent boarding and day school in Wiltshire, England.
  • A. MC
    MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
  • B. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • C. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • D. MC
    MC is the two-letter ISO 3166 country code for Monaco, the small sovereign city-state on the French Riviera known for its wealth, casinos, and the Monte Carlo district.
  • E. MC
    MC is the Italian vehicle registration code assigned to the province of Macerata in the Marche region.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ed50908190962f0d6d049fb964 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d2cc9c48190bc36f6a4f8144b7f completed April 9, 2026, 3:29 a.m.
NEDg Description generation batch_69d73182d7548190ac15093aa7001db7 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7336c06308190ac72154134a26842 completed April 9, 2026, 5:04 a.m.
Created at: April 6, 2026, 11:43 a.m.