Triple

T9930072
Position Surface form Disambiguated ID Type / Status
Subject Amami Ōshima E192624 entity
Predicate hasTown P847 FINISHED
Object Yamato E166261 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: Yamato | Statement: [Amami Ōshima, hasTown, Yamato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamato
Context triple: [Amami Ōshima, hasTown, Yamato]
  • A. Yamato
    Yamato was a World War II-era Japanese battleship, famed as one of the largest and most heavily armed battleships ever constructed.
  • B. Yamato chosen
    Yamato refers to the dominant historical ethnic group and cultural core of Japan, traditionally associated with the imperial lineage and Shinto deities such as Amaterasu.
  • C. Yamato
    Yamato is a suburban city in Japan’s Kantō region known for its residential neighborhoods and role as a commuter hub within Kanagawa Prefecture.
  • D. Musashi
    Musashi was a World War II-era Japanese battleship, one of the largest and most heavily armed ever built, serving as a flagship of the Imperial Japanese Navy before being sunk in the Battle of Leyte Gulf.
  • E. Zuihō
    Zuihō was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in several Pacific War operations before being sunk in the Battle off Cape Engaño in 1944.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b4196881909a004091a4203c45 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228cab0fc81908ff5fad6916c1bab completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:43 p.m.