Triple

T12652550
Position Surface form Disambiguated ID Type / Status
Subject 柏原市 E302198 entity
Predicate 名所 P10233 FINISHED
Object 大和川河川敷
大和川河川敷は、大和川沿いに広がる柏原市を代表する憩いと散策の場として親しまれている河川敷エリアです。
 E996595 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: 大和川河川敷 | Statement: [柏原市, 名所, 大和川河川敷]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 大和川河川敷
Context triple: [柏原市, 名所, 大和川河川敷]
  • A. 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。
  • B. 野川
    野川は東京都多摩地域から世田谷区などを流れ、多摩川へと注ぐ都市近郊の中小河川です。
  • C. 天神川
    天神川は兵庫県伊丹市を流れる中小河川で、市街地の治水や景観に寄与している川です。
  • D. 野洲川
    野洲川 is a river in Shiga Prefecture, Japan, that flows into Lake Biwa and is known for its role in local agriculture and flood control.
  • E. 玉川
    玉川 is a district in Tokyo’s Setagaya Ward known for its riverside location along the Tama River and its mix of residential areas and commercial facilities.
  • 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: 大和川河川敷
Triple: [柏原市, 名所, 大和川河川敷]
Generated description
大和川河川敷は、大和川沿いに広がる柏原市を代表する憩いと散策の場として親しまれている河川敷エリアです。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 大和川河川敷
Target entity description: 大和川河川敷は、大和川沿いに広がる柏原市を代表する憩いと散策の場として親しまれている河川敷エリアです。
  • A. 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。
  • B. 野川
    野川は東京都多摩地域から世田谷区などを流れ、多摩川へと注ぐ都市近郊の中小河川です。
  • C. 天神川
    天神川は兵庫県伊丹市を流れる中小河川で、市街地の治水や景観に寄与している川です。
  • D. 野洲川
    野洲川 is a river in Shiga Prefecture, Japan, that flows into Lake Biwa and is known for its role in local agriculture and flood control.
  • E. 玉川
    玉川 is a district in Tokyo’s Setagaya Ward known for its riverside location along the Tama River and its mix of residential areas and commercial facilities.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66c572f848190a8cad6311d3315a3 completed May 2, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69f66cef79148190a052fb9ade3b0d27 completed May 2, 2026, 9:30 p.m.
Created at: April 9, 2026, 5:18 p.m.