Triple

T23408392
Position Surface form Disambiguated ID Type / Status
Subject Tokubetsu Kōtō Keisatsu E559997 entity
Predicate shortName P43 FINISHED
Object Tokkō 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: Tokkō | Statement: [Tokubetsu Kōtō Keisatsu, shortName, Tokkō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokkō
Context triple: [Tokubetsu Kōtō Keisatsu, shortName, Tokkō]
  • A. Tokkō chosen
    Tokkō was the colloquial name for Japan’s prewar and wartime Special Higher Police, a political police force tasked with suppressing dissent and ideological opposition.
  • B. Tokke
    Tokke is a rural municipality in Vestfold og Telemark county, Norway, known for its hydropower production, lakes, and mountainous landscapes.
  • C. Tokashiki
    Tokashiki is a small island municipality in Okinawa Prefecture, Japan, known for its clear waters, coral reefs, and popular diving and snorkeling spots within the Kerama Islands.
  • D. Toyako
    Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
  • E. Tokuji
    Tokuji is a Japanese masculine given name that has been borne by various notable individuals in fields such as business, politics, and the arts.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a50f3f90819084fb682597fee1e1 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:38 p.m.