Triple

T13979354
Position Surface form Disambiguated ID Type / Status
Subject Etajima E336266 entity
Predicate connectedByFerryTo P1831 FINISHED
Object Kure E498542 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: Kure | Statement: [Etajima, connectedByFerryTo, Kure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kure
Context triple: [Etajima, connectedByFerryTo, Kure]
  • A. Kure chosen
    Kure is a Japanese port city in Hiroshima Prefecture known historically as a major naval base and shipbuilding center.
  • B. Kokura
    Kokura is a historic district in Kitakyushu, Japan, known for its castle, commercial center, and role as a former castle town and transport hub on Kyushu.
  • C. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • D. Kure Lagoon
    Kure Lagoon is a shallow, sheltered body of water enclosed by the coral reef of Kure Atoll in the Northwestern Hawaiian Islands, known for its rich marine biodiversity and protected habitat.
  • E. Kamaishi
    Kamaishi is a coastal city in northeastern Japan known for its historic iron and steel industry and as a venue for the 2019 Rugby World Cup.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e9fc7248190a9f26e253286ac3c completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9231888190ad8cb460db73bdb4 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:18 p.m.