Triple

T8002981
Position Surface form Disambiguated ID Type / Status
Subject Epsom College E186294 entity
Predicate hasAbbreviation P43 FINISHED
Object EC
EC is the commonly used abbreviation for Epsom College, a well-known independent co-educational boarding and day school in Surrey, England.
E704235 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: EC | Statement: [Epsom College, hasAbbreviation, EC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EC
Context triple: [Epsom College, hasAbbreviation, EC]
  • A. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • B. EC
    EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
  • C. EC
    EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
  • D. EC
    EC is the student nickname for MIT’s East Campus undergraduate dormitory, known for its tight-knit, hands-on, and hacker-oriented culture.
  • E. EC
    EC is the abbreviation for the APEC Economic Committee, a body that supports economic policy research and cooperation among APEC member economies.
  • 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: EC
Triple: [Epsom College, hasAbbreviation, EC]
Generated description
EC is the commonly used abbreviation for Epsom College, a well-known independent co-educational boarding and day school in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EC
Target entity description: EC is the commonly used abbreviation for Epsom College, a well-known independent co-educational boarding and day school in Surrey, England.
  • A. EC
    EC is the student nickname for MIT’s East Campus undergraduate dormitory, known for its tight-knit, hands-on, and hacker-oriented culture.
  • B. EC
    EC is the commonly used abbreviation for the Election Commission of Bangladesh, the constitutional body responsible for overseeing and conducting elections in the country.
  • C. EC
    EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
  • D. EC
    EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
  • E. EC
    EC is the standard abbreviation for EuroCity, a network of international express passenger trains operating across various European countries.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe121b0ac81908b9da58cf14c8df5 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe441b76881909efa791b74316088 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc34749ae08190a1d30919a0594bfd completed March 31, 2026, 8:54 p.m.
Created at: March 30, 2026, 5:18 p.m.