Triple

T16172220
Position Surface form Disambiguated ID Type / Status
Subject European Banking Authority E392467 entity
Predicate shortName P43 FINISHED
Object EBA E392467 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: EBA | Statement: [European Banking Authority, shortName, EBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EBA
Context triple: [European Banking Authority, shortName, EBA]
  • A. EBA
    EBA is the IATA airport code for Marina di Campo Airport, which serves Italy’s Elba Island in the Tyrrhenian Sea.
  • B. EBA chosen
    EBA is the European Union’s regulatory agency responsible for overseeing and harmonizing banking supervision and ensuring financial stability across member states.
  • C. EBAW
    EBAW is the ICAO airport code for Antwerp International Airport, a regional airport serving the city of Antwerp in Belgium.
  • D. EBE
    EBE is the vehicle registration code used for cars registered in the Ebersberg district of Bavaria, Germany.
  • E. ENBA
    ENBA is the commonly used abbreviation for the Escola Nacional de Belas Artes, a prominent national fine arts school.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb88c948190a1d8b5518694ad53 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bfc3ac819082596cc533c5faa4 completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.