Triple

T10191424
Position Surface form Disambiguated ID Type / Status
Subject Cherepovets Airport E238043 entity
Predicate ICAOcode P419 FINISHED
Object ULBC
ULBC is the ICAO airport code assigned to Cherepovets Airport in Russia.
 E847490 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: ULBC | Statement: [Cherepovets Airport, ICAOcode, ULBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ULBC
Context triple: [Cherepovets Airport, ICAOcode, ULBC]
  • A. UBC
    UBC is an international network of cities around the Baltic Sea that collaborates to promote sustainable development, democracy, and regional cooperation.
  • B. LBSU
    LBSU is the commonly used abbreviation for California State University, Long Beach, particularly in the context of its athletic programs.
  • C. UNIL
    UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
  • D. UoC
    UoC is a major public research university in Cologne, Germany, known for its broad range of academic disciplines and large student population.
  • E. UCLS
    UCLS is a renowned private day school in Chicago affiliated with the University of Chicago, known for its progressive education and strong academic programs from nursery through high school.
  • 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: ULBC
Triple: [Cherepovets Airport, ICAOcode, ULBC]
Generated description
ULBC is the ICAO airport code assigned to Cherepovets Airport in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ULBC
Target entity description: ULBC is the ICAO airport code assigned to Cherepovets Airport in Russia.
  • A. UBC
    UBC is an international network of cities around the Baltic Sea that collaborates to promote sustainable development, democracy, and regional cooperation.
  • B. LBSU
    LBSU is the commonly used abbreviation for California State University, Long Beach, particularly in the context of its athletic programs.
  • C. UNIL
    UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
  • D. UoC
    UoC is a major public research university in Cologne, Germany, known for its broad range of academic disciplines and large student population.
  • E. UCLS
    UCLS is a renowned private day school in Chicago affiliated with the University of Chicago, known for its progressive education and strong academic programs from nursery through high school.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7eb1148190a2d175163685e233 completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317c0c22881909ed388721e80bafd completed April 6, 2026, 2:17 a.m.
NEDg Description generation batch_69d31b7fc66c8190b9de24200c149b45 completed April 6, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69d31c7bf1f88190beef483458923787 completed April 6, 2026, 2:37 a.m.
Created at: March 30, 2026, 9:13 p.m.