Triple

T16839412
Position Surface form Disambiguated ID Type / Status
Subject New York Yankees broadcasters E409367 entity
Predicate broadcastPartner P833 FINISHED
Object WADO
WADO is a Spanish-language radio station in New York City that serves as one of the flagship broadcasters for New York Yankees games.
 E1237278 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: WADO | Statement: [New York Yankees broadcasters, broadcastPartner, WADO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WADO
Context triple: [New York Yankees broadcasters, broadcastPartner, WADO]
  • A. WADW
    WADW is the ICAO airport code for Umbu Mehang Kunda Airport in Indonesia.
  • B. WAKA
    "WAKA" is a track from 6ix9ine's 2018 studio album "Dummy Boy," known for its aggressive trap sound and high-energy delivery.
  • C. Wadō
    Wadō was a Japanese era of the early Nara period, notable for the discovery of copper in Chichibu and the issuance of Japan’s first official coinage.
  • D. WDO
    WDO is the commonly used abbreviation for the World Design Organization, an international body that promotes industrial design to improve quality of life worldwide.
  • E. WARA
    WARA is the ICAO airport code for Abdul Rachman Saleh Airport in Malang, East Java, Indonesia.
  • 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: WADO
Triple: [New York Yankees broadcasters, broadcastPartner, WADO]
Generated description
WADO is a Spanish-language radio station in New York City that serves as one of the flagship broadcasters for New York Yankees games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WADO
Target entity description: WADO is a Spanish-language radio station in New York City that serves as one of the flagship broadcasters for New York Yankees games.
  • A. WADW
    WADW is the ICAO airport code for Umbu Mehang Kunda Airport in Indonesia.
  • B. WAKA
    "WAKA" is a track from 6ix9ine's 2018 studio album "Dummy Boy," known for its aggressive trap sound and high-energy delivery.
  • C. Wadō
    Wadō was a Japanese era of the early Nara period, notable for the discovery of copper in Chichibu and the issuance of Japan’s first official coinage.
  • D. WDO
    WDO is the commonly used abbreviation for the World Design Organization, an international body that promotes industrial design to improve quality of life worldwide.
  • E. WARA
    WARA is the ICAO airport code for Abdul Rachman Saleh Airport in Malang, East Java, Indonesia.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34f902c8190a334ba7caa04ce7e completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb177e288190b525e6d239892d26 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bcc6c6288190bde0af65e0db94a8 completed May 10, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_6a00bd47733881908ece05023ad80eeb completed May 10, 2026, 5:15 p.m.
Created at: April 10, 2026, 5:23 a.m.