Triple

T23050173
Position Surface form Disambiguated ID Type / Status
Subject Yuzhno-Sakhalinsk Airport E573987 entity
Predicate ICAOCode P419 FINISHED
Object UHSS
UHSS is the ICAO airport code for Yuzhno-Sakhalinsk Airport, a major air transport hub on Russia’s Sakhalin Island.
 E1568910 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: UHSS | Statement: [Yuzhno-Sakhalinsk Airport, ICAOCode, UHSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UHSS
Context triple: [Yuzhno-Sakhalinsk Airport, ICAOCode, UHSS]
  • A. USSU
    USSU is the students' union representing and supporting students at the University of Surrey through services, activities, and advocacy.
  • B. UHSM
    UHSM is the ICAO airport code for Yuzhno-Kurilsk Mendeleyevo Airport, a regional airport serving the Kuril Islands in Russia.
  • C. HSS
    HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
  • D. HSS
    HSS is the U.S. Navy designation for the Sikorsky H-34 Choctaw anti-submarine warfare helicopter.
  • E. HSS
    HSS is the Faculty of Humanities & Social Sciences at the University of Bath, encompassing disciplines such as politics, languages, education, psychology, and social policy.
  • 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: UHSS
Triple: [Yuzhno-Sakhalinsk Airport, ICAOCode, UHSS]
Generated description
UHSS is the ICAO airport code for Yuzhno-Sakhalinsk Airport, a major air transport hub on Russia’s Sakhalin Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UHSS
Target entity description: UHSS is the ICAO airport code for Yuzhno-Sakhalinsk Airport, a major air transport hub on Russia’s Sakhalin Island.
  • A. USSU
    USSU is the students' union representing and supporting students at the University of Surrey through services, activities, and advocacy.
  • B. UHSM
    UHSM is the ICAO airport code for Yuzhno-Kurilsk Mendeleyevo Airport, a regional airport serving the Kuril Islands in Russia.
  • C. HSS
    HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
  • D. HSS
    HSS is the U.S. Navy designation for the Sikorsky H-34 Choctaw anti-submarine warfare helicopter.
  • E. HSS
    HSS is the Faculty of Humanities & Social Sciences at the University of Bath, encompassing disciplines such as politics, languages, education, psychology, and social policy.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867c443081909588262bc90748af completed April 29, 2026, 4:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ade221081909d25033a5edc73ca completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0f3fe0d081908b86806ec2399eca completed May 19, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0fd3f8608190879a222a697716bd completed May 19, 2026, 7:23 a.m.
Created at: April 17, 2026, 3:54 p.m.