Triple

T22216447
Position Surface form Disambiguated ID Type / Status
Subject Awang Airport E549084 entity
Predicate IATACode P418 FINISHED
Object CBO
CBO is the IATA airport code for Awang Airport, which serves Cotabato City in the Philippines.
 E1526348 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: CBO | Statement: [Awang Airport, IATACode, CBO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CBO
Context triple: [Awang Airport, IATACode, CBO]
  • A. CBOB
    CBOB is the acronym for the Central Bank of The Bahamas, the country’s primary monetary authority and financial regulator.
  • B. CSB
    CSB is the National Rail station code for Carshalton Beeches railway station in the London Borough of Sutton, England.
  • C. CBI
    CBI is the acronym commonly used for the Central Bank of Iran, the country’s primary monetary authority responsible for issuing currency and regulating the banking system.
  • D. CBI
    CBI is India's premier federal investigative agency responsible for probing high-profile crimes, corruption cases, and other serious offenses.
  • E. CSO
    CSO is a major American orchestra based in Cincinnati, Ohio, known for its rich recording history and innovative programming.
  • 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: CBO
Triple: [Awang Airport, IATACode, CBO]
Generated description
CBO is the IATA airport code for Awang Airport, which serves Cotabato City in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CBO
Target entity description: CBO is the IATA airport code for Awang Airport, which serves Cotabato City in the Philippines.
  • A. CBOB
    CBOB is the acronym for the Central Bank of The Bahamas, the country’s primary monetary authority and financial regulator.
  • B. CSB
    CSB is the National Rail station code for Carshalton Beeches railway station in the London Borough of Sutton, England.
  • C. CBI
    CBI is the acronym commonly used for the Central Bank of Iran, the country’s primary monetary authority responsible for issuing currency and regulating the banking system.
  • D. CBI
    CBI is India's premier federal investigative agency responsible for probing high-profile crimes, corruption cases, and other serious offenses.
  • E. CSO
    CSO is a major American orchestra based in Cincinnati, Ohio, known for its rich recording history and innovative programming.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8c9d488190a59f571862997304 completed April 28, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae692a108190ad7156d9b3c72901 completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0ab28bc764819083ba5f419d288eab completed May 18, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab32113748190bfd86bcffcf06b76 completed May 18, 2026, 6:35 a.m.
Created at: April 16, 2026, 8:37 p.m.