Triple

T6462310
Position Surface form Disambiguated ID Type / Status
Subject Florence Airport Peretola E142149 entity
Predicate ICAOcode P419 FINISHED
Object LIRQ
LIRQ is the ICAO airport code for Florence Airport Peretola, the main international airport serving Florence, Italy.
 E594326 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: LIRQ | Statement: [Florence Airport Peretola, ICAOcode, LIRQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LIRQ
Context triple: [Florence Airport Peretola, ICAOcode, LIRQ]
  • A. LIRJ
    LIRJ is the ICAO airport code for Marina di Campo Airport, a small regional airport serving Elba Island in Italy.
  • B. LIRF
    LIRF is the ICAO airport code for Leonardo da Vinci–Fiumicino Airport, the main international airport serving Rome, Italy.
  • C. IRI
    IRI (Industrial Research Institute) is a U.S.-based association of industrial and service companies focused on advancing innovation, research, and development management practices.
  • D. IRU
    IRU is the abbreviation for the International Romani Union, a global organization representing the interests and rights of Romani people.
  • E. IER
    IER is a division of the U.S. Department of Justice that enforces federal laws protecting immigrants and other workers from employment discrimination based on citizenship or immigration status and national origin.
  • 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: LIRQ
Triple: [Florence Airport Peretola, ICAOcode, LIRQ]
Generated description
LIRQ is the ICAO airport code for Florence Airport Peretola, the main international airport serving Florence, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LIRQ
Target entity description: LIRQ is the ICAO airport code for Florence Airport Peretola, the main international airport serving Florence, Italy.
  • A. LIRJ
    LIRJ is the ICAO airport code for Marina di Campo Airport, a small regional airport serving Elba Island in Italy.
  • B. LIRF
    LIRF is the ICAO airport code for Leonardo da Vinci–Fiumicino Airport, the main international airport serving Rome, Italy.
  • C. IRI
    IRI (Industrial Research Institute) is a U.S.-based association of industrial and service companies focused on advancing innovation, research, and development management practices.
  • D. IRU
    IRU is the abbreviation for the International Romani Union, a global organization representing the interests and rights of Romani people.
  • E. IER
    IER is a division of the U.S. Department of Justice that enforces federal laws protecting immigrants and other workers from employment discrimination based on citizenship or immigration status and national origin.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f7e5908190ae4d8da2b14d274f completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be4e6888190a685f447e9950163 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64e4413f481908561a86bc9a9b0b2 completed March 27, 2026, 9:30 a.m.
NED2 Entity disambiguation (via description) batch_69c64ec0d40881908fda2e994f0f6ed5 completed March 27, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:49 p.m.