Triple

T811582
Position Surface form Disambiguated ID Type / Status
Subject European Stability Mechanism E17556 entity
Predicate shortName P43 FINISHED
Object ESM
ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
 E97869 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: ESM | Statement: [European Stability Mechanism, shortName, ESM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESM
Context triple: [European Stability Mechanism, shortName, ESM]
  • A. ES-MD
    ES-MD is the ISO 3166-2 subdivision code that uniquely identifies Spain’s Community of Madrid.
  • B. ERM
    ERM is the French-language abbreviation for Belgium’s Royal Military Academy, the country’s principal institution for training future officers of the armed forces.
  • C. ERM
    ERM is a European Union system designed to reduce exchange rate variability and achieve monetary stability in preparation for economic and monetary union.
  • D. EGSS
    EGSS is the ICAO airport code assigned to London Stansted Airport, a major international airport serving the London area in the United Kingdom.
  • E. EXS
    EXS is the ICAO airline designator used for Jet2.com, a British low-cost leisure airline based in the United Kingdom.
  • 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: ESM
Triple: [European Stability Mechanism, shortName, ESM]
Generated description
ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESM
Target entity description: ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
  • A. ES-MD
    ES-MD is the ISO 3166-2 subdivision code that uniquely identifies Spain’s Community of Madrid.
  • B. ERM
    ERM is the French-language abbreviation for Belgium’s Royal Military Academy, the country’s principal institution for training future officers of the armed forces.
  • C. ERM
    ERM is a European Union system designed to reduce exchange rate variability and achieve monetary stability in preparation for economic and monetary union.
  • D. EGSS
    EGSS is the ICAO airport code assigned to London Stansted Airport, a major international airport serving the London area in the United Kingdom.
  • E. EXS
    EXS is the ICAO airline designator used for Jet2.com, a British low-cost leisure airline based in the United Kingdom.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab282fe48190a05ee97550843cd7 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8869888190a95857546dfae5b3 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78e436c048190b31b53fff1c48f1d completed March 4, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69a78eb80f6081908257889efaff6d33 completed March 4, 2026, 1:45 a.m.
Created at: March 1, 2026, 7:38 p.m.