Triple

T10695192
Position Surface form Disambiguated ID Type / Status
Subject Echigawa River E252118 entity
Predicate hasNameInLanguage P15 FINISHED
Object 愛知川 (Japanese)
愛知川 is a river in Shiga Prefecture, Japan, that flows into Lake Biwa and is known for its scenic valleys and role in local agriculture and ecosystems.
E880699 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: 愛知川 (Japanese) | Statement: [Echigawa River, hasNameInLanguage, 愛知川 (Japanese)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 愛知川 (Japanese)
Context triple: [Echigawa River, hasNameInLanguage, 愛知川 (Japanese)]
  • A. 愛知県豊橋市
    愛知県豊橋市は、愛知県東部に位置する中核市で、工業と農業がともに盛んで交通の要衝としても知られる都市です。
  • B. Tōkai, Aichi
    Tōkai, Aichi is a city in central Japan known for its industrial base and proximity to the Nagoya metropolitan area.
  • C. Kansai Kūkō
    Kansai Kūkō is a major international airport built on an artificial island in Osaka Bay, serving the Kansai region of Japan.
  • D. Ikawai
    Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
  • E. Kawaguchi
    Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
  • 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: 愛知川 (Japanese)
Triple: [Echigawa River, hasNameInLanguage, 愛知川 (Japanese)]
Generated description
愛知川 is a river in Shiga Prefecture, Japan, that flows into Lake Biwa and is known for its scenic valleys and role in local agriculture and ecosystems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 愛知川 (Japanese)
Target entity description: 愛知川 is a river in Shiga Prefecture, Japan, that flows into Lake Biwa and is known for its scenic valleys and role in local agriculture and ecosystems.
  • A. 愛知県豊橋市
    愛知県豊橋市は、愛知県東部に位置する中核市で、工業と農業がともに盛んで交通の要衝としても知られる都市です。
  • B. Tōkai, Aichi
    Tōkai, Aichi is a city in central Japan known for its industrial base and proximity to the Nagoya metropolitan area.
  • C. Kansai Kūkō
    Kansai Kūkō is a major international airport built on an artificial island in Osaka Bay, serving the Kansai region of Japan.
  • D. Ikawai
    Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
  • E. Kawaguchi
    Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998da1738819099a9090c3e8badc9 completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:11 p.m.