Triple

T3839386
Position Surface form Disambiguated ID Type / Status
Subject Abemama E93413 entity
Predicate airportIcaoCode P419 FINISHED
Object NGAB
NGAB is the ICAO airport code for Abemama Atoll Airport, a small airfield serving Abemama in Kiribati.
E393854 NE FINISHED

How this triple was built (5 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: NGAB | Statement: [Abemama, airportIcaoCode, NGAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NGAB
Context triple: [Abemama, airportIcaoCode, NGAB]
  • A. GAB
    GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
  • B. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • C. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • D. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • E. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • 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: NGAB
Triple: [Abemama, airportIcaoCode, NGAB]
Generated description
NGAB is the ICAO airport code for Abemama Atoll Airport, a small airfield serving Abemama in Kiribati.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NGAB
Target entity description: NGAB is the ICAO airport code for Abemama Atoll Airport, a small airfield serving Abemama in Kiribati.
  • A. GAB
    GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
  • B. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • C. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • D. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • E. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airportIcaoCode
Context triple: [Abemama, airportIcaoCode, NGAB]
  • A. airportIATAAssociated
    Indicates that an airport is associated with a specific IATA (International Air Transport Association) code.
  • B. ICAOcode chosen
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • C. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • D. airportUse
    Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
  • E. airportAlsoKnownAs
    Indicates that an airport is referred to by an alternative name or alias in addition to its primary name.
  • F. None of above.

Provenance (6 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeb9f305c8190b71ac53bbb0c4beb completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040835dc81909ecf5053128f1cc7 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b507cfee048190a41ad30f4ceaf6c8 completed March 14, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b50857e9ec8190bb03f13c4573b779 completed March 14, 2026, 7:03 a.m.
PD Predicate disambiguation batch_69aee74dcecc819098285483ec721b40 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:18 p.m.