Triple

T12211080
Position Surface form Disambiguated ID Type / Status
Subject Jacksonville Aviation Authority E290958 entity
Predicate abbreviation P43 FINISHED
Object JAA
JAA is the Jacksonville Aviation Authority, the public agency that owns and operates the airports serving the Jacksonville, Florida area.
 E971727 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: JAA | Statement: [Jacksonville Aviation Authority, abbreviation, JAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JAA
Context triple: [Jacksonville Aviation Authority, abbreviation, JAA]
  • A. JAA
    JAA was a European civil aviation regulatory body that coordinated and harmonized airworthiness and safety standards among member states before many of its functions were taken over by the European Union Aviation Safety Agency (EASA).
  • B. RJAA
    RJAA is the ICAO airport code for Narita International Airport, a major international gateway serving the Tokyo metropolitan area in Japan.
  • C. JATA
    JATA is the public transit agency serving the Jackson, Michigan area with bus and related transportation services.
  • D. RJA
    RJA is the ICAO airline designator used for Royal Jordanian, the flag carrier airline of Jordan.
  • E. JA
    JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
  • 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: JAA
Triple: [Jacksonville Aviation Authority, abbreviation, JAA]
Generated description
JAA is the Jacksonville Aviation Authority, the public agency that owns and operates the airports serving the Jacksonville, Florida area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JAA
Target entity description: JAA is the Jacksonville Aviation Authority, the public agency that owns and operates the airports serving the Jacksonville, Florida area.
  • A. JAA
    JAA was a European civil aviation regulatory body that coordinated and harmonized airworthiness and safety standards among member states before many of its functions were taken over by the European Union Aviation Safety Agency (EASA).
  • B. RJAA
    RJAA is the ICAO airport code for Narita International Airport, a major international gateway serving the Tokyo metropolitan area in Japan.
  • C. JATA
    JATA is the public transit agency serving the Jackson, Michigan area with bus and related transportation services.
  • D. RJA
    RJA is the ICAO airline designator used for Royal Jordanian, the flag carrier airline of Jordan.
  • E. JA
    JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c915f548190b34a743f0a3bb51a completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9f45108190a814cdca52e77b5e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdbee288190991b08ae685bb401 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f610b8efe88190907e84247d9e8456 completed May 2, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:51 p.m.