Triple

T16441005
Position Surface form Disambiguated ID Type / Status
Subject WOGL E399300 entity
Predicate hasSisterStation P15137 FINISHED
Object KYKY
KYKY is a commercial FM radio station based in St. Louis, Missouri, known for its adult contemporary and hot adult contemporary music programming.
E1213755 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: KYKY | Statement: [WOGL, hasSisterStation, KYKY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KYKY
Context triple: [WOGL, hasSisterStation, KYKY]
  • A. Ky
    Ky is the given name of Ky Bowman, an American professional basketball player known for his time in the NBA and overseas leagues.
  • B. KK
    KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
  • C. KK
    KK is the vehicle registration code used on license plates for the Kežmarok district in Slovakia.
  • D. KK
    KK is a key spirit detective and mentor figure in the action-adventure game Ghostwire: Tokyo, guiding the protagonist with his supernatural expertise.
  • E. KY
    KY is the vehicle registration code used on license plates for motor vehicles registered in County Kerry, Ireland.
  • 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: KYKY
Triple: [WOGL, hasSisterStation, KYKY]
Generated description
KYKY is a commercial FM radio station based in St. Louis, Missouri, known for its adult contemporary and hot adult contemporary music programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KYKY
Target entity description: KYKY is a commercial FM radio station based in St. Louis, Missouri, known for its adult contemporary and hot adult contemporary music programming.
  • A. Ky
    Ky is the given name of Ky Bowman, an American professional basketball player known for his time in the NBA and overseas leagues.
  • B. KK
    KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
  • C. KK
    KK is the vehicle registration code used on license plates for the Kežmarok district in Slovakia.
  • D. KK
    KK is a key spirit detective and mentor figure in the action-adventure game Ghostwire: Tokyo, guiding the protagonist with his supernatural expertise.
  • E. KY
    KY is the vehicle registration code used on license plates for motor vehicles registered in County Kerry, Ireland.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba7fb0c8190a6a872705cd38987 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458dde8881909778c9964ddc8efa completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00472cdc2881908211045515cd21ee completed May 10, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0047b4b6688190afef52b39788ceae completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:10 a.m.