Triple

T1797991
Position Surface form Disambiguated ID Type / Status
Subject St Edward's School, Oxford E39647 entity
Predicate hasAbbreviation P43 FINISHED
Object SES
SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
 E201435 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: SES | Statement: [St Edward's School, Oxford, hasAbbreviation, SES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SES
Context triple: [St Edward's School, Oxford, hasAbbreviation, SES]
  • A. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • B. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • C. SE
    SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • D. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • E. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • 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: SES
Triple: [St Edward's School, Oxford, hasAbbreviation, SES]
Generated description
SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SES
Target entity description: SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
  • A. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • B. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • C. SE
    SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • D. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • E. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6568373c81908044e0cd8a38344d completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d6cee88190b26814134037aba6 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb8b626688190b4953d4549339dea completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb9253fa08190bfb7d245208150c0 completed March 8, 2026, 6 p.m.
Created at: March 4, 2026, 7:32 p.m.