Triple

T23087459
Position Surface form Disambiguated ID Type / Status
Subject Platov International Airport E575648 entity
Predicate ICAOcode P419 FINISHED
Object URRP
URRP is the ICAO airport code assigned to Platov International Airport, the main airport serving Rostov-on-Don in Russia.
E1570122 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: URRP | Statement: [Platov International Airport, ICAOcode, URRP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: URRP
Context triple: [Platov International Airport, ICAOcode, URRP]
  • A. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • B. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • C. UR
    UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
  • D. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • E. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • 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: URRP
Triple: [Platov International Airport, ICAOcode, URRP]
Generated description
URRP is the ICAO airport code assigned to Platov International Airport, the main airport serving Rostov-on-Don in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: URRP
Target entity description: URRP is the ICAO airport code assigned to Platov International Airport, the main airport serving Rostov-on-Don in Russia.
  • A. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • B. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • C. UR
    UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
  • D. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • E. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da652ac819085919ade6dd7bce4 completed April 29, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b4ddd08190bf04711266d683cf completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c17791f8481909f0f42f9122e0c3a completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1863ea2c81909345cb5701fcd8ed completed May 19, 2026, 7:59 a.m.
Created at: April 17, 2026, 3:57 p.m.