Triple

T11741786
Position Surface form Disambiguated ID Type / Status
Subject 桂川 E279172 entity
Predicate 下流部の名称 P4359 FINISHED
Object 桂川 E279172 NE FINISHED

How this triple was built (3 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: 桂川 | Statement: [桂川, 下流部の名称, 桂川]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 桂川
Context triple: [桂川, 下流部の名称, 桂川]
  • A. 桂川 chosen
    桂川は、京都市内を流れ嵐山の景観で知られる日本の代表的な河川の一つです。
  • B. 庄川
    庄川は日本の中部地方を流れ、富山県の庄川峡などの景勝地や水力発電で知られる河川である。
  • C. 天野川
    天野川は大阪府交野市を流れる、七夕伝説や星にまつわるロマンチックな物語で知られる川です。
  • D. 夙川
    夙川 is a scenic river area in Nishinomiya, Hyōgo Prefecture, Japan, renowned for its cherry blossom-lined banks and popular hanami spots.
  • E. 三川軍一
    三川軍一 was an Imperial Japanese Navy admiral best known for commanding Japanese forces to victory at the 1942 Battle of Savo Island during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 下流部の名称
Context triple: [桂川, 下流部の名称, 桂川]
  • A. southernPartNameUnderJapan
    Indicates that the named southern part of a place or region is located within or under the jurisdiction of Japan.
  • B. partOfName
    Indicates that one string is a component or substring that forms part of another entity’s name.
  • C. seatOfBody
    Indicates that one entity serves as the physical location or base where another entity (typically an organization or authority) is situated or headquartered.
  • D. mouthOfTheWatercourse chosen
    Indicates the location where a watercourse ends and flows into a larger body of water.
  • E. hasBodyRegion
    Indicates that an entity possesses, includes, or is associated with a specific anatomical or bodily region.
  • F. None of above.

Provenance (4 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019d331888190866bdd04f6c73e08 completed April 28, 2026, 2:22 a.m.
PD Predicate disambiguation batch_69d88a813cc48190a3dfdc60e8af80ae completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:41 p.m.