Triple

T14100320
Position Surface form Disambiguated ID Type / Status
Subject Anápolis Air Base E339361 entity
Predicate ICAOCode P419 FINISHED
Object SBAN
SBAN is the ICAO airport code assigned to Anápolis Air Base, a Brazilian Air Force installation in Goiás, Brazil.
 E1080125 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: SBAN | Statement: [Anápolis Air Base, ICAOCode, SBAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SBAN
Context triple: [Anápolis Air Base, ICAOCode, SBAN]
  • A. SBN
    SBN is the IATA airport code for South Bend International Airport, a commercial airport serving South Bend, Indiana, and the surrounding region.
  • B. SAB
    SAB is the three-letter IATA airport code for Juancho E. Yrausquin Airport, the small Caribbean airport serving the island of Saba in the Netherlands.
  • C. SAB
    SAB is the School of American Ballet, a premier ballet academy in New York City that serves as the official training school for the New York City Ballet.
  • D. SNB
    SNB is the U.S. Navy’s military transport and trainer variant of the Beechcraft Model 18 aircraft.
  • E. SNB
    SNB is the abbreviation for the Schweizerische Nordwestbahn, a former Swiss railway company that operated in the northwestern region of Switzerland.
  • 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: SBAN
Triple: [Anápolis Air Base, ICAOCode, SBAN]
Generated description
SBAN is the ICAO airport code assigned to Anápolis Air Base, a Brazilian Air Force installation in Goiás, Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SBAN
Target entity description: SBAN is the ICAO airport code assigned to Anápolis Air Base, a Brazilian Air Force installation in Goiás, Brazil.
  • A. SBN
    SBN is the IATA airport code for South Bend International Airport, a commercial airport serving South Bend, Indiana, and the surrounding region.
  • B. SAB
    SAB is the School of American Ballet, a premier ballet academy in New York City that serves as the official training school for the New York City Ballet.
  • C. SAB
    SAB is the three-letter IATA airport code for Juancho E. Yrausquin Airport, the small Caribbean airport serving the island of Saba in the Netherlands.
  • D. SNB
    SNB is the U.S. Navy’s military transport and trainer variant of the Beechcraft Model 18 aircraft.
  • E. SNB
    SNB is the abbreviation for the Schweizerische Nordwestbahn, a former Swiss railway company that operated in the northwestern region of Switzerland.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b108908190b4b408f21ecb877a completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd5533dc88190b0ca6c0d7d47d84e completed May 7, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69fcd61f06e881909c3c42b83f858471 completed May 7, 2026, 6:12 p.m.
Created at: April 9, 2026, 10:22 p.m.