Triple

T14615412
Position Surface form Disambiguated ID Type / Status
Subject Galeão Air Base E343071 entity
Predicate hasIcaoCode P419 FINISHED
Object SBGL E209310 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: SBGL | Statement: [Galeão Air Base, hasIcaoCode, SBGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SBGL
Context triple: [Galeão Air Base, hasIcaoCode, SBGL]
  • A. SBGL chosen
    SBGL is the ICAO airport code for Rio de Janeiro–Galeão International Airport, a major international gateway serving Rio de Janeiro, Brazil.
  • B. SGL
    SGL is the station code for Singleton railway station, a train stop serving the locality of Singleton.
  • C. SBG
    SBG is the abbreviation of the Société Biblique de Genève, a Geneva-based Bible society dedicated to translating, publishing, and distributing the Bible.
  • D. SBGR
    SBGR is the ICAO airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
  • E. SBGI
    SBGI is the stock ticker symbol for Sinclair Broadcast Group, a major American telecommunications company and television station owner.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.