Triple

T11858574
Position Surface form Disambiguated ID Type / Status
Subject Bayelsa International Airport E282101 entity
Predicate ICAOcode P419 FINISHED
Object DNBY
DNBY is the ICAO airport code assigned to Bayelsa International Airport in Nigeria.
 E951738 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: DNBY | Statement: [Bayelsa International Airport, ICAOcode, DNBY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DNBY
Context triple: [Bayelsa International Airport, ICAOcode, DNBY]
  • A. NBY
    NBY is the three-letter National Rail station code for Newbury railway station in Berkshire, England.
  • B. NBLA
    NBLA is the commonly used acronym for the Legislative Assembly of New Brunswick, the unicameral provincial legislature of New Brunswick, Canada.
  • C. NPF
    NPF is the national law enforcement agency responsible for maintaining public order, safety, and security throughout Nigeria.
  • D. NBO
    NBO is the IATA airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • E. NLBM
    NLBM is a museum in Kansas City dedicated to preserving and celebrating the history and legacy of Negro Leagues baseball and its players.
  • 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: DNBY
Triple: [Bayelsa International Airport, ICAOcode, DNBY]
Generated description
DNBY is the ICAO airport code assigned to Bayelsa International Airport in Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DNBY
Target entity description: DNBY is the ICAO airport code assigned to Bayelsa International Airport in Nigeria.
  • A. NBY
    NBY is the three-letter National Rail station code for Newbury railway station in Berkshire, England.
  • B. NBLA
    NBLA is the commonly used acronym for the Legislative Assembly of New Brunswick, the unicameral provincial legislature of New Brunswick, Canada.
  • C. NPF
    NPF is the national law enforcement agency responsible for maintaining public order, safety, and security throughout Nigeria.
  • D. NBO
    NBO is the IATA airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • E. NLBM
    NLBM is a museum in Kansas City dedicated to preserving and celebrating the history and legacy of Negro Leagues baseball and its players.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2816404ac81909129347607fb5fd3 completed April 29, 2026, 10:08 p.m.
NEDg Description generation batch_69f28d363cac8190b961f17245db493c completed April 29, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69f29150bf508190bdf037d40e445e6d completed April 29, 2026, 11:16 p.m.
Created at: April 8, 2026, 9:43 p.m.