Triple

T30348909
Position Surface form Disambiguated ID Type / Status
Subject エンジェルビーツ E771936 entity
Predicate 放送局 P147832 FINISHED
Object TOKYO MX
TOKYO MX is a Japanese independent television station based in Tokyo, known for broadcasting a wide range of anime and local programming.
 E1910128 NE FINISHED

How this triple was built (3 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: TOKYO MX | Statement: [エンジェルビーツ, 放送局, TOKYO MX]
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: TOKYO MX
Triple: [エンジェルビーツ, 放送局, TOKYO MX]
Generated description
TOKYO MX is a Japanese independent television station based in Tokyo, known for broadcasting a wide range of anime and local programming.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 放送局
Context triple: [エンジェルビーツ, 放送局, TOKYO MX]
  • A. broadcastStation chosen
    Indicates that one entity functions as a broadcast station that transmits content or signals to an audience or network.
  • B. broadcastNetwork
    Indicates that one entity serves as the television or radio network that broadcasts the programming or content of another entity.
  • C. hasBroadcastingInstitution
    Indicates that one entity serves as the broadcasting institution (e.g., TV/radio/online broadcaster) responsible for transmitting or airing the content or service of another entity.
  • D. broadcastFacilities
    Indicates that one entity provides or is equipped with the means to transmit or distribute broadcasts (such as radio, television, or digital signals) to an audience.
  • E. broadcastingWork
    Indicates that one entity is a broadcasted work (such as a radio or TV program) that is transmitted or made available to an audience by another entity.
  • F. None of above.

Provenance (6 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_69f2248b9a208190bc3e6804acd5afd6 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6820a250c8190ba7afa43f6f55c46 completed May 2, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c2b30008190bfe6c3ea7d68a44c completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277d09f32c8190a75331cdfafd9456 completed June 9, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a277dc406308190a2e54214a8851a14 completed June 9, 2026, 2:43 a.m.
PD Predicate disambiguation batch_69f678ce54b081908c26edfd49e39c60 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 7:56 p.m.