Triple

T4062208
Position Surface form Disambiguated ID Type / Status
Subject NWS E86238 entity
Predicate relatedTicker P3440 FINISHED
Object NWSLV (historical/alternative listings may exist)
NWSLV is a class of News Corp’s publicly traded shares, historically representing a specific share structure or listing variant of the company.
 E86238 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: NWSLV (historical/alternative listings may exist) | Statement: [NWS, relatedTicker, NWSLV (historical/alternative listings may exist)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NWSLV (historical/alternative listings may exist)
Context triple: [NWS, relatedTicker, NWSLV (historical/alternative listings may exist)]
  • A. NWS
    NWS is the stock ticker symbol for News Corporation, a global media and publishing company.
  • B. NWS
    NWS is the ICAO airline designator assigned to Nordwind Airlines, a Russian leisure and charter carrier.
  • C. 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.
  • D. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • E. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • 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: NWSLV (historical/alternative listings may exist)
Triple: [NWS, relatedTicker, NWSLV (historical/alternative listings may exist)]
Generated description
NWSLV is a class of News Corp’s publicly traded shares, historically representing a specific share structure or listing variant of the company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NWSLV (historical/alternative listings may exist)
Target entity description: NWSLV is a class of News Corp’s publicly traded shares, historically representing a specific share structure or listing variant of the company.
  • A. NWS chosen
    NWS is the stock ticker symbol for News Corporation, a global media and publishing company.
  • B. NWS
    NWS is the ICAO airline designator assigned to Nordwind Airlines, a Russian leisure and charter carrier.
  • C. 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.
  • D. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • E. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • F. None of above.

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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd60cc081908764fcc8206bc1ef completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562ac25848190951431c9c853cc59 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5633103e081909dbe7a7e54877343 completed March 14, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69b563eca17c81908deff0d361a7be87 completed March 14, 2026, 1:34 p.m.
Created at: March 9, 2026, 3:38 p.m.