Triple

T1084150
Position Surface form Disambiguated ID Type / Status
Subject Leonardo da Vinci–Fiumicino Airport E24012 entity
Predicate ICAOcode P419 FINISHED
Object LIRF
LIRF is the ICAO airport code for Leonardo da Vinci–Fiumicino Airport, the main international airport serving Rome, Italy.
 E124981 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: LIRF | Statement: [Leonardo da Vinci–Fiumicino Airport, ICAOcode, LIRF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LIRF
Context triple: [Leonardo da Vinci–Fiumicino Airport, ICAOcode, LIRF]
  • A. LIF
    LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
  • B. FOIRL
    FOIRL (Fiber Optic Inter-Repeater Link) is an early Ethernet standard that used fiber-optic cabling to connect network repeaters over longer distances than copper-based links.
  • C. IRU
    IRU is the abbreviation for the International Romani Union, a global organization representing the interests and rights of Romani people.
  • D. Rif
    Rif, also known as Rabbi Isaac Alfasi, was an 11th-century Talmudic scholar whose halachic digest of the Talmud became a foundational legal work that strongly shaped later Jewish law codes.
  • E. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • 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: LIRF
Triple: [Leonardo da Vinci–Fiumicino Airport, ICAOcode, LIRF]
Generated description
LIRF is the ICAO airport code for Leonardo da Vinci–Fiumicino Airport, the main international airport serving Rome, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LIRF
Target entity description: LIRF is the ICAO airport code for Leonardo da Vinci–Fiumicino Airport, the main international airport serving Rome, Italy.
  • A. LIF
    LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
  • B. FOIRL
    FOIRL (Fiber Optic Inter-Repeater Link) is an early Ethernet standard that used fiber-optic cabling to connect network repeaters over longer distances than copper-based links.
  • C. IRU
    IRU is the abbreviation for the International Romani Union, a global organization representing the interests and rights of Romani people.
  • D. Rif
    Rif, also known as Rabbi Isaac Alfasi, was an 11th-century Talmudic scholar whose halachic digest of the Talmud became a foundational legal work that strongly shaped later Jewish law codes.
  • E. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9608bac819085196cc0f8fbb2e7 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42b1de9c8190ba5a4a0283034367 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac43a06d3c819087cc9b92012bb979 completed March 7, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ac4779f86c819096d639a9a5df61a6 completed March 7, 2026, 3:42 p.m.
Created at: March 1, 2026, 7:42 p.m.