Triple
T435938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto |
E10010
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ponto-chō
Ponto-chō is a historic, narrow alley in Kyoto famous for its traditional teahouses, geisha culture, and atmospheric nightlife along the Kamogawa River.
|
E65226
|
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: Ponto-chō | Statement: [Kyoto, contains, Ponto-chō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ponto-chō Context triple: [Kyoto, contains, Ponto-chō]
-
A.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
B.
Taihoku
Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
-
C.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
D.
Higashi Shina Kai
Higashi Shina Kai is the Japanese name for the East China Sea, a marginal sea located between China, Japan, Taiwan, and the Korean Peninsula.
-
E.
Tenjin
Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
- 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: Ponto-chō Triple: [Kyoto, contains, Ponto-chō]
Generated description
Ponto-chō is a historic, narrow alley in Kyoto famous for its traditional teahouses, geisha culture, and atmospheric nightlife along the Kamogawa River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ponto-chō Target entity description: Ponto-chō is a historic, narrow alley in Kyoto famous for its traditional teahouses, geisha culture, and atmospheric nightlife along the Kamogawa River.
-
A.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
B.
Taihoku
Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
-
C.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
D.
Higashi Shina Kai
Higashi Shina Kai is the Japanese name for the East China Sea, a marginal sea located between China, Japan, Taiwan, and the Korean Peninsula.
-
E.
Tenjin
Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef0b6e0c8190ad6a335ee804829c |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ab1982f48190b7d7300f0ab9c637 |
completed | March 1, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69a4ac032ef4819094b9ce7740262eda |
completed | March 1, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4ada4ca5481909bbd62b55f10f4f9 |
completed | March 1, 2026, 9:20 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.