Triple

T10827334
Position Surface form Disambiguated ID Type / Status
Subject Matsue E255527 entity
Predicate hasRomanization P2508 FINISHED
Object Matsue-shi E449214 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: Matsue-shi | Statement: [Matsue, hasRomanization, Matsue-shi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsue-shi
Context triple: [Matsue, hasRomanization, Matsue-shi]
  • A. Matsue chosen
    Matsue is a historic castle city and the capital of Shimane Prefecture in western Japan, known for its well-preserved Matsue Castle and scenic lakeside setting between Lake Shinji and Nakaumi.
  • B. Miyoshi City
    Miyoshi City is a municipality in Tokushima Prefecture on Japan’s Shikoku Island, known for its mountainous terrain, scenic river valleys, and outdoor tourism.
  • C. Higashine City
    Higashine City is a municipality in northeastern Japan known for its fruit production, especially cherries, and its scenic rural landscapes.
  • D. Maibara
    Maibara is a city in Shiga Prefecture, Japan, known as a regional transportation hub with a Shinkansen station and scenic views of nearby Lake Biwa and surrounding mountains.
  • E. Saijō City
    Saijō City is a municipality in Ehime Prefecture on Japan’s Shikoku Island, known as a gateway to Mount Ishizuchi and for its natural springs and scenic mountain landscapes.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d2b9f88190b79a7b168d7836c8 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b2e59e88190b58fdf9d9643aef9 completed May 9, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:19 p.m.