Triple

T16607564
Position Surface form Disambiguated ID Type / Status
Subject WMMR E403483 entity
Predicate sisterStation P15137 FINISHED
Object WTMR
WTMR is a radio station in the Philadelphia market, known for its multicultural and religious programming.
 E1222348 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: WTMR | Statement: [WMMR, sisterStation, WTMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WTMR
Context triple: [WMMR, sisterStation, WTMR]
  • A. WSTM-TV
    WSTM-TV is a television station serving the Syracuse, New York market, known for its local news programming and affiliation with major broadcast networks.
  • B. WLTW
    WLTW is the stock ticker symbol for Willis Towers Watson, a global advisory, broking, and solutions company.
  • C. WGR-TV
    WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
  • D. WMTW
    WMTW is a television station serving the Portland, Maine market, known primarily as the local ABC network affiliate.
  • E. WLIW
    WLIW is a Long Island-based public television station in the New York metropolitan area, known for educational, cultural, and local programming.
  • 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: WTMR
Triple: [WMMR, sisterStation, WTMR]
Generated description
WTMR is a radio station in the Philadelphia market, known for its multicultural and religious programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WTMR
Target entity description: WTMR is a radio station in the Philadelphia market, known for its multicultural and religious programming.
  • A. WSTM-TV
    WSTM-TV is a television station serving the Syracuse, New York market, known for its local news programming and affiliation with major broadcast networks.
  • B. WLTW
    WLTW is the stock ticker symbol for Willis Towers Watson, a global advisory, broking, and solutions company.
  • C. WGR-TV
    WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
  • D. WMTW
    WMTW is a television station serving the Portland, Maine market, known primarily as the local ABC network affiliate.
  • E. WLIW
    WLIW is a Long Island-based public television station in the New York metropolitan area, known for educational, cultural, and local programming.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36093901881909b85af47f75879a9 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aa79408190b395d4cd9c6c1cb7 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a00768e9720819094d4e11ee1e100d6 completed May 10, 2026, 12:14 p.m.
NED2 Entity disambiguation (via description) batch_6a007734abd481909c9c698f2aef7632 completed May 10, 2026, 12:16 p.m.
Created at: April 10, 2026, 5:17 a.m.