Triple

T6445912
Position Surface form Disambiguated ID Type / Status
Subject Saipan International Airport E138341 entity
Predicate FAAcode P420 FINISHED
Object GSN
GSN is the FAA airport code for Saipan International Airport, the primary airport serving Saipan in the Northern Mariana Islands.
 E594784 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: GSN | Statement: [Saipan International Airport, FAAcode, GSN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GSN
Context triple: [Saipan International Airport, FAAcode, GSN]
  • A. GSC
    GSC is the Geological Survey of Canada, the national scientific agency responsible for studying and mapping Canada’s geology, natural resources, and geological hazards.
  • B. GSC
    GSC is the commonly used abbreviation for the General Secretariat of the Council of the European Union, the administrative body that supports the Council’s work and decision-making processes.
  • C. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • D. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • E. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • 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: GSN
Triple: [Saipan International Airport, FAAcode, GSN]
Generated description
GSN is the FAA airport code for Saipan International Airport, the primary airport serving Saipan in the Northern Mariana Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GSN
Target entity description: GSN is the FAA airport code for Saipan International Airport, the primary airport serving Saipan in the Northern Mariana Islands.
  • A. GSC
    GSC is the Geological Survey of Canada, the national scientific agency responsible for studying and mapping Canada’s geology, natural resources, and geological hazards.
  • B. GSC
    GSC is the commonly used abbreviation for the General Secretariat of the Council of the European Union, the administrative body that supports the Council’s work and decision-making processes.
  • C. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • D. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • E. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698d866c81909ef3e0a53833ff7d completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bcd09e0819097eb60d13e8058dd completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64fba85a08190ad270b010294f86a completed March 27, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c6508c2fb481909da94b4f67e95ecf completed March 27, 2026, 9:40 a.m.
Created at: March 22, 2026, 4:46 p.m.