Triple

T13875442
Position Surface form Disambiguated ID Type / Status
Subject Kōtō E333569 entity
Predicate contains P35 FINISHED
Object Shiohama
Shiohama is a neighborhood located within Kōtō ward in Tokyo, Japan.
 E1320023 NE FINISHED

How this triple was built (4 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: Shiohama | Statement: [Kōtō, contains, Shiohama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shiohama
Context triple: [Kōtō, contains, Shiohama]
  • A. Yanagawa
    Yanagawa is a historic canal city in southwestern Japan known for its picturesque waterways, traditional boat tours, and former castle-town atmosphere.
  • B. Miyakonojō
    Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
  • C. Tsuruga
    Tsuruga is a coastal city in Fukui Prefecture, Japan, known as a key port and transportation hub on the Sea of Japan side of Honshu.
  • D. Hayama
    Hayama is a coastal town in Kanagawa Prefecture, Japan, known for its beaches, scenic views of Sagami Bay, and as a site of an Imperial Villa.
  • E. Sodegaura
    Sodegaura is a coastal city in Chiba Prefecture, Japan, known for its industrial waterfront, proximity to Tokyo Bay, and role within the Keiyō industrial zone.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shiohama
Triple: [Kōtō, contains, Shiohama]
Generated description
Shiohama is a neighborhood located within Kōtō ward in Tokyo, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shiohama
Target entity description: Shiohama is a neighborhood located within Kōtō ward in Tokyo, Japan.
  • A. Yanagawa
    Yanagawa is a historic canal city in southwestern Japan known for its picturesque waterways, traditional boat tours, and former castle-town atmosphere.
  • B. Miyakonojō
    Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
  • C. Tsuruga
    Tsuruga is a coastal city in Fukui Prefecture, Japan, known as a key port and transportation hub on the Sea of Japan side of Honshu.
  • D. Hayama
    Hayama is a coastal town in Kanagawa Prefecture, Japan, known for its beaches, scenic views of Sagami Bay, and as a site of an Imperial Villa.
  • E. Sodegaura
    Sodegaura is a coastal city in Chiba Prefecture, Japan, known for its industrial waterfront, proximity to Tokyo Bay, and role within the Keiyō industrial zone.
  • F. None of above. chosen

Provenance (5 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc075a1881909fef72945e47d68a completed May 13, 2026, 12:55 a.m.
NEDg Description generation batch_6a03cfe2e23c8190bc49aa82debf5367 completed May 13, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_6a03d04dd0a88190b308c4a2c649f687 completed May 13, 2026, 1:13 a.m.
Created at: April 9, 2026, 10:15 p.m.