Triple

T2712668
Position Surface form Disambiguated ID Type / Status
Subject Yola E59897 entity
Predicate airportICAO P419 FINISHED
Object DNYO
DNYO is the ICAO airport code for Yola Airport, a regional airport serving the city of Yola in northeastern Nigeria.
E289563 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: DNYO | Statement: [Yola, airportICAO, DNYO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNYO
Context triple: [Yola, airportICAO, DNYO]
  • A. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • B. NYA
    NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
  • C. NYP
    NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
  • D. BYN
    BYN is the ISO 4217 currency code for the current Belarusian ruble, the official currency of Belarus.
  • E. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • 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: DNYO
Triple: [Yola, airportICAO, DNYO]
Generated description
DNYO is the ICAO airport code for Yola Airport, a regional airport serving the city of Yola in northeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DNYO
Target entity description: DNYO is the ICAO airport code for Yola Airport, a regional airport serving the city of Yola in northeastern Nigeria.
  • A. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • B. NYA
    NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
  • C. NYP
    NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
  • D. BYN
    BYN is the ISO 4217 currency code for the current Belarusian ruble, the official currency of Belarus.
  • E. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda90d5a88190bcb6caefd8f2dd1b completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf83e37c8190b7a7815f8acf3a4b completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb01c248c81909af7358da96aa588 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0afc4148190b96337f66b77fe28 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.