Triple

T3843004
Position Surface form Disambiguated ID Type / Status
Subject Orlando Executive Airport E93498 entity
Predicate FAAIdentifier P420 FINISHED
Object ORL
ORL is the FAA location identifier for Orlando Executive Airport, a public airport serving general aviation near downtown Orlando, Florida.
 E394927 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: ORL | Statement: [Orlando Executive Airport, FAAIdentifier, ORL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ORL
Context triple: [Orlando Executive Airport, FAAIdentifier, ORL]
  • A. ORL
    ORL is the standard three-letter abbreviation used for the NBA team Orlando Magic.
  • B. LFW
    LFW is the IATA airport code for Lomé–Tokoin International Airport, the main airport serving Lomé, the capital of Togo.
  • C. Nose
    Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
  • D. ORAP
    ORAP is the standard legal citation abbreviation for the Oregon Rules of Appellate Procedure, which govern practice in Oregon’s appellate courts.
  • E. ORF
    ORF is Austria's national public service broadcaster, operating multiple television and radio channels as well as online services.
  • 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: ORL
Triple: [Orlando Executive Airport, FAAIdentifier, ORL]
Generated description
ORL is the FAA location identifier for Orlando Executive Airport, a public airport serving general aviation near downtown Orlando, Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ORL
Target entity description: ORL is the FAA location identifier for Orlando Executive Airport, a public airport serving general aviation near downtown Orlando, Florida.
  • A. ORL
    ORL is the standard three-letter abbreviation used for the NBA team Orlando Magic.
  • B. LFW
    LFW is the IATA airport code for Lomé–Tokoin International Airport, the main airport serving Lomé, the capital of Togo.
  • C. Nose
    Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
  • D. ORAP
    ORAP is the standard legal citation abbreviation for the Oregon Rules of Appellate Procedure, which govern practice in Oregon’s appellate courts.
  • E. ORF
    ORF is Austria's national public service broadcaster, operating multiple television and radio channels as well as online services.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5122ba6a4819099986e50f42f2a92 completed March 14, 2026, 7:45 a.m.
NEDg Description generation batch_69b5129946508190860e12a8f90eb5ee completed March 14, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69b513481c308190849e66bbd9caf57c completed March 14, 2026, 7:50 a.m.
Created at: March 9, 2026, 3:18 p.m.