Triple

T6394915
Position Surface form Disambiguated ID Type / Status
Subject Yuzhno-Kurilsk Mendeleyevo Airport E143917 entity
Predicate ICAOcode P419 FINISHED
Object UHSM
UHSM is the ICAO airport code for Yuzhno-Kurilsk Mendeleyevo Airport, a regional airport serving the Kuril Islands in Russia.
 E591373 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: UHSM | Statement: [Yuzhno-Kurilsk Mendeleyevo Airport, ICAOcode, UHSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UHSM
Context triple: [Yuzhno-Kurilsk Mendeleyevo Airport, ICAOcode, UHSM]
  • A. USM
    USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
  • B. USM
    USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
  • C. USM
    USM is the commonly used abbreviation for the Federico Santa María Technical University, a prominent Chilean institution known for its strong engineering and science programs.
  • D. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • E. UMES
    UMES is a public historically Black land-grant university located in Princess Anne, Maryland, known for its programs in agriculture, marine and environmental science, and hospitality management.
  • 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: UHSM
Triple: [Yuzhno-Kurilsk Mendeleyevo Airport, ICAOcode, UHSM]
Generated description
UHSM is the ICAO airport code for Yuzhno-Kurilsk Mendeleyevo Airport, a regional airport serving the Kuril Islands in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UHSM
Target entity description: UHSM is the ICAO airport code for Yuzhno-Kurilsk Mendeleyevo Airport, a regional airport serving the Kuril Islands in Russia.
  • A. USM
    USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
  • B. USM
    USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
  • C. USM
    USM is the commonly used abbreviation for the Federico Santa María Technical University, a prominent Chilean institution known for its strong engineering and science programs.
  • D. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • E. UMES
    UMES is a public historically Black land-grant university located in Princess Anne, Maryland, known for its programs in agriculture, marine and environmental science, and hospitality management.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0688275d0819086b58123c743a6db completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638935934819096a34da6f1b5110b completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63c71ac188190ad7912d2e6a68af8 completed March 27, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c63cdf225c8190b26a23496d0acc1a completed March 27, 2026, 8:16 a.m.
Created at: March 22, 2026, 4:35 p.m.