Triple

T16813621
Position Surface form Disambiguated ID Type / Status
Subject Takayoshi E408680 entity
Predicate nameComponent P5298 FINISHED
Object Taka E1053753 NE FINISHED

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: Taka | Statement: [Takayoshi, nameComponent, Taka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taka
Context triple: [Takayoshi, nameComponent, Taka]
  • A. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • B. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • C. Toshi chosen
    Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
  • D. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • E. Tukao
    Tukao is a small village and settlement on the atoll of Manihiki in the Cook Islands, known for its remote Pacific island setting and traditional Polynesian community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e01fb8819081cf2c08f29448da completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79cdf9c8190aa20d536ca17ab81 completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:23 a.m.