Triple

T5985353
Position Surface form Disambiguated ID Type / Status
Subject Special Higher Police E133212 entity
Predicate abbreviation P43 FINISHED
Object Tokkō E559996 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: Tokkō | Statement: [Special Higher Police, abbreviation, Tokkō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokkō
Context triple: [Special Higher Police, abbreviation, 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. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. 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.
  • D. Tosora
    Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
  • E. Totsakan
    Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6dcaf08190bac27c7042e65e07 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1084e9ca481909f585b3d19991a60 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:04 p.m.