Triple

T11309784
Position Surface form Disambiguated ID Type / Status
Subject 淀川 E267806 entity
Predicate 河口 P4359 FINISHED
Object 大阪湾 LITERAL 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: 大阪湾 | Statement: [淀川, 河口, 大阪湾]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 河口
Context triple: [淀川, 河口, 大阪湾]
  • A. mouthOfTheWatercourse chosen
    Indicates the location where a watercourse ends and flows into a larger body of water.
  • B. isMajorWatercourseOf
    Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
  • C. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • D. isWatercourseOf
    Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
  • E. associatedRiverBasin
    Indicates that one entity is linked to, or lies within the drainage area of, a particular river basin.
  • F. None of above.

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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69d787aa31888190860eecaa80da5b20 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.