Triple

T8267092
Position Surface form Disambiguated ID Type / Status
Subject WCBS (AM) E193327 entity
Predicate sisterStation P15137 FINISHED
Object WNSH
WNSH is a New York City-area radio station known for its country music format and association with major broadcasting networks.
E722628 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: WNSH | Statement: [WCBS (AM), sisterStation, WNSH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WNSH
Context triple: [WCBS (AM), sisterStation, WNSH]
  • A. WSNS-TV
    WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. KEWB
    KEWB is the ICAO airport code for New Bedford Regional Airport in New Bedford, Massachusetts, United States.
  • D. WPHT
    WPHT is a Philadelphia-based AM talk radio station known for its news, talk, and opinion programming.
  • E. KEWR
    KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
  • 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: WNSH
Triple: [WCBS (AM), sisterStation, WNSH]
Generated description
WNSH is a New York City-area radio station known for its country music format and association with major broadcasting networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WNSH
Target entity description: WNSH is a New York City-area radio station known for its country music format and association with major broadcasting networks.
  • A. WSNS-TV
    WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. KEWB
    KEWB is the ICAO airport code for New Bedford Regional Airport in New Bedford, Massachusetts, United States.
  • D. WPHT
    WPHT is a Philadelphia-based AM talk radio station known for its news, talk, and opinion programming.
  • E. KEWR
    KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794e6880819084dff5df42332835 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6827e44c81909be6e426ab9226c7 completed April 1, 2026, 6:47 p.m.
NEDg Description generation batch_69cd6d4fa17481909f28ad7eb9bceb42 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7df568788190a5a219baa65a6a19 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:50 p.m.