Triple
T2474699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinano River |
E55059
|
entity |
| Predicate | flowsThroughCity |
P10456
|
FINISHED |
| Object |
Ueda
Ueda is a historic city in Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its scenic riverside setting.
|
E453589
|
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: Ueda | Statement: [Shinano River, flowsThroughCity, Ueda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ueda Context triple: [Shinano River, flowsThroughCity, Ueda]
-
A.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
B.
Ayabe
Ayabe is a small city in the northern part of Japan’s Kyoto Prefecture, known for its rural landscapes, traditional industries, and spiritual retreat centers.
-
C.
Omiya
Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
-
D.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
E.
Ōtsu
Ōtsu is a Japanese city on the southwestern shore of Lake Biwa, known for its historic temples, scenic lake views, and role as a transportation hub near Kyoto.
- 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: Ueda Triple: [Shinano River, flowsThroughCity, Ueda]
Generated description
Ueda is a historic city in Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its scenic riverside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ueda Target entity description: Ueda is a historic city in Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its scenic riverside setting.
-
A.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
B.
Ayabe
Ayabe is a small city in the northern part of Japan’s Kyoto Prefecture, known for its rural landscapes, traditional industries, and spiritual retreat centers.
-
C.
Omiya
Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
-
D.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
E.
Ōtsu
Ōtsu is a Japanese city on the southwestern shore of Lake Biwa, known for its historic temples, scenic lake views, and role as a transportation hub near Kyoto.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd14b725c81908256c4d3bb6c5173 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd33296a08190b0d3cd9f7a5374a0 |
completed | March 20, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_69bdd615b5ac8190aaafdcae981c30aa |
completed | March 20, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd661f0fc8190a8edf227fe1b16c0 |
completed | March 20, 2026, 11:21 p.m. |
Created at: March 6, 2026, 9:45 p.m.