Triple

T12207947
Position Surface form Disambiguated ID Type / Status
Subject WNET E290882 entity
Predicate formerName P65 FINISHED
Object WNDT
WNDT was the original call sign of the New York City public television station now known as WNET, a flagship PBS member station.
 E970677 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: WNDT | Statement: [WNET, formerName, WNDT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WNDT
Context triple: [WNET, formerName, WNDT]
  • A. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • B. WTM
    WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
  • C. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • D. WNBC
    WNBC is the primary NBC-owned television station serving the New York City metropolitan area.
  • E. WDTD
    WDTD is the Warning Decision Training Division, a U.S. National Weather Service unit that develops and delivers training to improve severe weather forecasting and warning operations.
  • 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: WNDT
Triple: [WNET, formerName, WNDT]
Generated description
WNDT was the original call sign of the New York City public television station now known as WNET, a flagship PBS member station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WNDT
Target entity description: WNDT was the original call sign of the New York City public television station now known as WNET, a flagship PBS member station.
  • A. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • B. WTM
    WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
  • C. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • D. WNBC
    WNBC is the primary NBC-owned television station serving the New York City metropolitan area.
  • E. WDTD
    WDTD is the Warning Decision Training Division, a U.S. National Weather Service unit that develops and delivers training to improve severe weather forecasting and warning operations.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7d8f5c8190a46e9caa2a920fa9 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9d2f0c81908352cd9f0167c6ab completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe9dd6c819092fa7bced2eea069 completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.