Triple

T17715526
Position Surface form Disambiguated ID Type / Status
Subject Donalsonville Municipal Airport E442186 entity
Predicate FAAIdentifier P420 FINISHED
Object 17J
17J is the FAA location identifier assigned to Donalsonville Municipal Airport in Georgia, United States.
E1284430 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: 17J | Statement: [Donalsonville Municipal Airport, FAAIdentifier, 17J]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 17J
Context triple: [Donalsonville Municipal Airport, FAAIdentifier, 17J]
  • A. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • B. J7
    J7 is the U.S. military’s Joint Force Development Directorate responsible for shaping joint doctrine, training, and education across the armed forces.
  • C. 17A
    17A is a state highway designation used for a specific route within the New York State highway system.
  • D. JS17
    JS17 is the station code assigned to Osaki Station on Japan's railway network.
  • E. J1
    J1 is the top professional football (soccer) division in Japan, featuring the country’s highest-level clubs.
  • 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: 17J
Triple: [Donalsonville Municipal Airport, FAAIdentifier, 17J]
Generated description
17J is the FAA location identifier assigned to Donalsonville Municipal Airport in Georgia, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 17J
Target entity description: 17J is the FAA location identifier assigned to Donalsonville Municipal Airport in Georgia, United States.
  • A. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • B. J7
    J7 is the U.S. military’s Joint Force Development Directorate responsible for shaping joint doctrine, training, and education across the armed forces.
  • C. 17A
    17A is a state highway designation used for a specific route within the New York State highway system.
  • D. JS17
    JS17 is the station code assigned to Osaki Station on Japan's railway network.
  • E. J1
    J1 is the top professional football (soccer) division in Japan, featuring the country’s highest-level clubs.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47480955481908fa0d3d34aaedd48 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a023029aa808190bfacd42036a2f673 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0231835c748190b6908d6ddb5f25b4 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a0232033f788190b0be2d3976ed57e4 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:06 a.m.