Triple

T6701724
Position Surface form Disambiguated ID Type / Status
Subject Kishiwada Port E152894 entity
Predicate serves P98 FINISHED
Object Kishiwada city E25598 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: Kishiwada city | Statement: [Kishiwada Port, serves, Kishiwada city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kishiwada city
Context triple: [Kishiwada Port, serves, Kishiwada city]
  • A. Kishiwada chosen
    Kishiwada is a coastal city in southern Osaka Prefecture, Japan, best known for its historic castle and the lively Kishiwada Danjiri Matsuri festival.
  • B. Osaki City
    Osaki City is a regional city in northeastern Japan known for its agricultural production, hot springs, and historical sites.
  • C. Kaizuka
    Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
  • D. Wakayama City
    Wakayama City is a coastal city in Japan known for its historic Wakayama Castle, scenic views over Wakayama Bay, and role as a regional commercial and cultural center in the Kansai area.
  • E. Osaki New City
    Osaki New City is a major business and commercial district in Tokyo known for its modern office complexes, high-rise buildings, and urban redevelopment projects.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e5eb0c81908c4fa3febd2d23ca completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d5c75980e4819080f486b454f211a2 completed April 8, 2026, 3:11 a.m.
Created at: March 27, 2026, 2:06 p.m.