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.