Triple

T1336558
Position Surface form Disambiguated ID Type / Status
Subject Yogyakarta E28762 entity
Predicate hasAirportCode P6089 FINISHED
Object JOG
JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
E154815 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: JOG | Statement: [Yogyakarta, hasAirportCode, JOG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JOG
Context triple: [Yogyakarta, hasAirportCode, JOG]
  • A. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • D. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • E. JAM
    JAM is the three-letter ISO 3166-1 alpha-3 country code assigned to Jamaica.
  • 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: JOG
Triple: [Yogyakarta, hasAirportCode, JOG]
Generated description
JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: JOG
Target entity description: JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • A. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • D. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • E. JAM
    JAM is the three-letter ISO 3166-1 alpha-3 country code assigned to Jamaica.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAirportCode
Context triple: [Yogyakarta, hasAirportCode, JOG]
  • A. hasAirportCodeCity chosen
    Indicates that a city is associated with a specific airport code (such as an IATA or ICAO code) that identifies its airport.
  • B. hasAirportCodeType
    Indicates that an airport code is associated with a specific classification or type (e.g., IATA, ICAO, FAA).
  • C. hasAirportCodeRegion
    Indicates that an airport code is associated with, or belongs to, a specific geographic or administrative region.
  • D. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • E. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1edda1c81909a1149b254b0d57e completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62b9bd081909dbe22cbea03f21f completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6c204a88190a3171898e6e1bb91 completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc7d8df108190bf92ca5e33987d04 completed March 8, 2026, 12:50 a.m.
PD Predicate disambiguation batch_69a4bef174708190a07bbc697fe19a2d completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:55 p.m.