Triple

T20533652
Position Surface form Disambiguated ID Type / Status
Subject LIRJ E504133 entity
Predicate IATACode P418 FINISHED
Object EBA NE NERFINISHED

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: [LIRJ, IATACode, EBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EBA
Context triple: [LIRJ, IATACode, EBA]
  • A. EBA chosen
    EBA is the IATA airport code for Marina di Campo Airport, which serves Italy’s Elba Island in the Tyrrhenian Sea.
  • B. EBA
    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 (2 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06d30508190a13d1a9855b441fb completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.