Triple

T909114
Position Surface form Disambiguated ID Type / Status
Subject Athens, Ohio E19616 entity
Predicate hasRadioStation P14095 FINISHED
Object WATH
WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
 E107278 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: WATH | Statement: [Athens, Ohio, hasRadioStation, WATH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WATH
Context triple: [Athens, Ohio, hasRadioStation, WATH]
  • A. WAFF
    WAFF is the West Asian Football Federation, the regional governing body for football in West Asia under the Asian Football Confederation.
  • B. WABD
    WABD was the original call sign of the New York City television station now known as WNYW, historically associated with the DuMont Television Network.
  • C. WWOR-TV
    WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
  • D. KEWR
    KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
  • E. WGN America
    WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
  • 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: WATH
Triple: [Athens, Ohio, hasRadioStation, WATH]
Generated description
WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WATH
Target entity description: WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • A. WAFF
    WAFF is the West Asian Football Federation, the regional governing body for football in West Asia under the Asian Football Confederation.
  • B. WABD
    WABD was the original call sign of the New York City television station now known as WNYW, historically associated with the DuMont Television Network.
  • C. WWOR-TV
    WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
  • D. KEWR
    KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
  • E. WGN America
    WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2cee2848190b1f17e8817f092a1 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c73b3a848190859df2eed9a21fc5 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c88607648190b7d4e6dd3ec3ad02 completed March 4, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_69a7c90fe7fc819086070e7c3845e880 completed March 4, 2026, 5:54 a.m.
Created at: March 1, 2026, 7:39 p.m.