Triple
T13705377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 先斗町 |
E328625
|
entity |
| Predicate | extendsTo |
P1673
|
FINISHED |
| Object |
三条通
三条通 is a major east–west street in central Kyoto, known for its mix of traditional shops, modern cafes, and historical atmosphere.
|
E1054916
|
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: 三条通 | Statement: [先斗町, extendsTo, 三条通]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 三条通 Context triple: [先斗町, extendsTo, 三条通]
-
A.
3 Line
The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
-
B.
Shitou Xiqian
Shitou Xiqian was an influential 8th-century Chinese Chan (Zen) master, renowned for his poetic teachings and as a key figure in the development of the Caodong/Sōtō Zen lineage.
-
C.
Tui shou
Tui shou is a traditional Chinese tai chi training practice involving partnered, cooperative pushing and yielding exercises to develop sensitivity, balance, and internal power.
-
D.
Line 3–Red
Line 3–Red is one of the busiest and most important lines of the São Paulo Metro, running east–west across the city and connecting key residential and commercial areas.
-
E.
呑川
呑川は東京都世田谷区などを流れ東京湾へ注ぐ都市河川で、かつては農業用水としても利用された中小河川です。
- 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: 三条通 Triple: [先斗町, extendsTo, 三条通]
Generated description
三条通 is a major east–west street in central Kyoto, known for its mix of traditional shops, modern cafes, and historical atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 三条通 Target entity description: 三条通 is a major east–west street in central Kyoto, known for its mix of traditional shops, modern cafes, and historical atmosphere.
-
A.
3 Line
The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
-
B.
Shitou Xiqian
Shitou Xiqian was an influential 8th-century Chinese Chan (Zen) master, renowned for his poetic teachings and as a key figure in the development of the Caodong/Sōtō Zen lineage.
-
C.
Tui shou
Tui shou is a traditional Chinese tai chi training practice involving partnered, cooperative pushing and yielding exercises to develop sensitivity, balance, and internal power.
-
D.
Line 3–Red
Line 3–Red is one of the busiest and most important lines of the São Paulo Metro, running east–west across the city and connecting key residential and commercial areas.
-
E.
呑川
呑川は東京都世田谷区などを流れ東京湾へ注ぐ都市河川で、かつては農業用水としても利用された中小河川です。
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f796df515c819080a95621a8308629 |
completed | May 3, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7976846308190b1a5c056609fca34 |
completed | May 3, 2026, 6:43 p.m. |
Created at: April 9, 2026, 9:54 p.m.