Triple

T3817457
Position Surface form Disambiguated ID Type / Status
Subject Front Royal–Warren County Airport E84290 entity
Predicate hasIATACode P2569 FINISHED
Object FRR
FRR is the IATA airport code for Front Royal–Warren County Airport, a public airport serving the Front Royal area in Virginia, United States.
E390312 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: FRR | Statement: [Front Royal–Warren County Airport, hasIATACode, FRR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FRR
Context triple: [Front Royal–Warren County Airport, hasIATACode, FRR]
  • A. FFR
    FFR is the commonly used abbreviation for the French Rugby Federation, the governing body for rugby union in France.
  • B. FFRRO
    FFRRO is a U.S. Environmental Protection Agency office that oversees the cleanup, restoration, and reuse of contaminated federal facilities such as military bases and government sites.
  • C. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • D. RRF
    RRF is the acronym for the United States Ready Reserve Force, a fleet of government-owned cargo ships maintained for rapid activation in military and humanitarian sealift operations.
  • E. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • 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: FRR
Triple: [Front Royal–Warren County Airport, hasIATACode, FRR]
Generated description
FRR is the IATA airport code for Front Royal–Warren County Airport, a public airport serving the Front Royal area in Virginia, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FRR
Target entity description: FRR is the IATA airport code for Front Royal–Warren County Airport, a public airport serving the Front Royal area in Virginia, United States.
  • A. FFR
    FFR is the commonly used abbreviation for the French Rugby Federation, the governing body for rugby union in France.
  • B. FFRRO
    FFRRO is a U.S. Environmental Protection Agency office that oversees the cleanup, restoration, and reuse of contaminated federal facilities such as military bases and government sites.
  • C. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • D. RRF
    RRF is the acronym for the United States Ready Reserve Force, a fleet of government-owned cargo ships maintained for rapid activation in military and humanitarian sealift operations.
  • E. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8e1852c8190b61c507a7128d4c6 completed March 9, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb43e1d481909a5b52cae5686179 completed March 14, 2026, 6:08 a.m.
NEDg Description generation batch_69b4fcec1cf48190aa0b128acb56c089 completed March 14, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69b4fd4d55248190bf4ef442a9991edf completed March 14, 2026, 6:16 a.m.
Created at: March 9, 2026, 3:17 p.m.