Triple

T2038083
Position Surface form Disambiguated ID Type / Status
Subject Nordwind Airlines E44678 entity
Predicate ICAOcode P419 FINISHED
Object NWS
NWS is the ICAO airline designator assigned to Nordwind Airlines, a Russian leisure and charter carrier.
 E229866 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: NWS | Statement: [Nordwind Airlines, ICAOcode, NWS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NWS
Context triple: [Nordwind Airlines, ICAOcode, NWS]
  • A. NWS
    NWS is the stock ticker symbol for News Corporation, a global media and publishing company.
  • B. NSSL
    NSSL is a U.S. federal research laboratory that studies severe weather such as thunderstorms, tornadoes, and flash floods to improve forecasting and warning systems.
  • C. NWR
    NWR is the U.S. nationwide network of NOAA-operated radio stations that continuously broadcast weather forecasts, warnings, and emergency information.
  • D. National Weather Center
    The National Weather Center is a major U.S. hub for meteorological research, forecasting, and severe weather operations that houses multiple NOAA and academic weather agencies.
  • E. National Weather Service
    The National Weather Service is the U.S. federal agency responsible for providing weather forecasts, warnings, and climate data to protect life and property and support the national economy.
  • 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: NWS
Triple: [Nordwind Airlines, ICAOcode, NWS]
Generated description
NWS is the ICAO airline designator assigned to Nordwind Airlines, a Russian leisure and charter carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NWS
Target entity description: NWS is the ICAO airline designator assigned to Nordwind Airlines, a Russian leisure and charter carrier.
  • A. NWS
    NWS is the stock ticker symbol for News Corporation, a global media and publishing company.
  • B. NSSL
    NSSL is a U.S. federal research laboratory that studies severe weather such as thunderstorms, tornadoes, and flash floods to improve forecasting and warning systems.
  • C. NWR
    NWR is the U.S. nationwide network of NOAA-operated radio stations that continuously broadcast weather forecasts, warnings, and emergency information.
  • D. National Weather Center
    The National Weather Center is a major U.S. hub for meteorological research, forecasting, and severe weather operations that houses multiple NOAA and academic weather agencies.
  • E. National Weather Service
    The National Weather Service is the U.S. federal agency responsible for providing weather forecasts, warnings, and climate data to protect life and property and support the national economy.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95062c481908058d6da35337680 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff63de081908795a95c998dd9ac completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae20a6ce14819098007416d6377f2e completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae2130ba448190b91f590a348ebf88 completed March 9, 2026, 1:24 a.m.
Created at: March 4, 2026, 7:39 p.m.