Triple

T11093098
Position Surface form Disambiguated ID Type / Status
Subject Miura Peninsula E262304 entity
Predicate majorCityOnPeninsula P10961 FINISHED
Object Hayama E466351 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: Hayama | Statement: [Miura Peninsula, majorCityOnPeninsula, Hayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayama
Context triple: [Miura Peninsula, majorCityOnPeninsula, Hayama]
  • A. Hayama chosen
    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.
  • B. Isahaya
    Isahaya is a city in southwestern Japan known for its agricultural production, historical flood-control projects, and proximity to Nagasaki City.
  • C. Atami
    Atami is a coastal hot spring resort city in Shizuoka Prefecture, Japan, known for its onsen, beaches, and proximity to Tokyo.
  • D. Fujisawa
    Fujisawa is a Japanese surname borne by various notable individuals in fields such as business, politics, and the arts.
  • E. Fujisawa
    Fujisawa is a coastal city in Kanagawa Prefecture, Japan, known for its beaches, proximity to Enoshima Island, and role as a popular Shōnan resort and commuter hub.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1330527481908d518093debc9ad1 completed May 9, 2026, 10:57 a.m.
Created at: April 8, 2026, 9:27 p.m.