Triple

T23502788
Position Surface form Disambiguated ID Type / Status
Subject WCAU-TV E571896 entity
Predicate hasSisterStation P15137 FINISHED
Object WWSI
WWSI is a television station serving the Philadelphia, Pennsylvania market, primarily broadcasting Spanish-language programming as a Telemundo affiliate.
 E1589065 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: WWSI | Statement: [WCAU-TV, hasSisterStation, WWSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WWSI
Context triple: [WCAU-TV, hasSisterStation, WWSI]
  • A. WUSN
    WUSN is a Chicago-based country music radio station commonly known as "US*99."
  • B. WNSH
    WNSH is a New York City-area radio station known for its country music format and association with major broadcasting networks.
  • C. WIBB
    WIBB is the ICAO airport code for Sultan Syarif Kasim II International Airport in Pekanbaru, Indonesia.
  • D. WIJJ
    WIJJ was the former ICAO airport code assigned to JOG, the airport serving Yogyakarta, Indonesia.
  • E. WSNS-TV
    WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
  • 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: WWSI
Triple: [WCAU-TV, hasSisterStation, WWSI]
Generated description
WWSI is a television station serving the Philadelphia, Pennsylvania market, primarily broadcasting Spanish-language programming as a Telemundo affiliate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WWSI
Target entity description: WWSI is a television station serving the Philadelphia, Pennsylvania market, primarily broadcasting Spanish-language programming as a Telemundo affiliate.
  • A. WUSN
    WUSN is a Chicago-based country music radio station commonly known as "US*99."
  • B. WNSH
    WNSH is a New York City-area radio station known for its country music format and association with major broadcasting networks.
  • C. WIBB
    WIBB is the ICAO airport code for Sultan Syarif Kasim II International Airport in Pekanbaru, Indonesia.
  • D. WIJJ
    WIJJ was the former ICAO airport code assigned to JOG, the airport serving Yogyakarta, Indonesia.
  • E. WSNS-TV
    WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fe1e3081908c4a9df4e137b9b3 completed April 29, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8275e2bc8190a908d41a9824f2f8 completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f2d4288190b0b5fd46d2a387bf completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7f09af48190b7bfdae25d2f286b completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 6:06 p.m.