Triple

T15736113
Position Surface form Disambiguated ID Type / Status
Subject Temple 70: Motoyamaji E381475 entity
Predicate hasMainHall P6080 FINISHED
Object Hondō 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: Hondō | Statement: [Temple 70: Motoyamaji, hasMainHall, Hondō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hondō
Context triple: [Temple 70: Motoyamaji, hasMainHall, Hondō]
  • A. Hondō chosen
    Hondō is the main worship hall of a Japanese Buddhist temple, typically housing its principal sacred image.
  • B. Takarano
    Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
  • C. Takarano
    Takarano is a village located on the atoll of Abaiang in the island nation of Kiribati.
  • D. Higashiura
    Higashiura is a town in central Japan located within Aichi Prefecture, known as a residential community in the Chita Peninsula area.
  • E. Nagahori
    Nagahori is a district in Osaka, Japan, known primarily as an urban area served by the Osaka Metro Nagahori Tsurumi-ryokuchi Line.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd586a88190aa1b1b88368d386f completed April 16, 2026, 2:56 a.m.
Created at: April 10, 2026, 4:46 a.m.