Triple

T22533379
Position Surface form Disambiguated ID Type / Status
Subject 東京都港区 E557098 entity
Predicate containsLandmark P1098 FINISHED
Object TBS放送センター NE NERFINISHED

How this triple was built (2 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: TBS放送センター | Statement: [東京都港区, containsLandmark, TBS放送センター]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TBS放送センター
Context triple: [東京都港区, containsLandmark, TBS放送センター]
  • A. TBS Broadcasting Center chosen
    TBS Broadcasting Center is a major television and radio broadcasting complex in Tokyo that serves as the headquarters of the Tokyo Broadcasting System (TBS).
  • B. NHK Broadcasting Center
    NHK Broadcasting Center is the main headquarters and production hub of Japan’s public broadcaster NHK, located in Tokyo.
  • C. TBS
    TBS is the United States Marine Corps’ primary officer training and education institution where newly commissioned officers learn the fundamentals of leading Marines.
  • D. TBS
    TBS is the three-letter IATA airport code for Tbilisi International Airport, serving the capital city of Georgia.
  • E. TBS
    TBS is a major Japanese television network known for broadcasting a wide range of popular anime, dramas, and variety programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed88cf08190ae7e5b6bf9a80372 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.