Triple
T8397108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita, Tokyo |
E198080
|
entity |
| Predicate | hasResidentialArea |
P9064
|
FINISHED |
| Object |
Takinogawa
Takinogawa is a residential district in Kita Ward, Tokyo, known for its quiet neighborhoods and convenient urban access.
|
E781512
|
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: Takinogawa | Statement: [Kita, Tokyo, hasResidentialArea, Takinogawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takinogawa Context triple: [Kita, Tokyo, hasResidentialArea, Takinogawa]
-
A.
Kisogawa
Kisogawa is the Japanese name for the Kiso River, a major river in central Honshu known for its scenic valleys and historical importance.
-
B.
Inagawa River
The Inagawa River is a river in Japan’s Kansai region that flows through Hyōgo Prefecture, including the city of Amagasaki, before emptying into Osaka Bay.
-
C.
Kizugawa
Kizugawa is a city in southern Kyoto Prefecture, Japan, known for its mix of historical sites, residential areas, and growing industrial and research facilities.
-
D.
Waki River
The Waki River is a significant waterway in the Guiana region that serves as an important tributary within the Maroni River basin.
-
E.
Takahashi River
The Takahashi River is a major river in Okayama Prefecture, Japan, flowing through cities such as Kurashiki before emptying into the Seto Inland Sea.
- 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: Takinogawa Triple: [Kita, Tokyo, hasResidentialArea, Takinogawa]
Generated description
Takinogawa is a residential district in Kita Ward, Tokyo, known for its quiet neighborhoods and convenient urban access.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takinogawa Target entity description: Takinogawa is a residential district in Kita Ward, Tokyo, known for its quiet neighborhoods and convenient urban access.
-
A.
Kisogawa
Kisogawa is the Japanese name for the Kiso River, a major river in central Honshu known for its scenic valleys and historical importance.
-
B.
Inagawa River
The Inagawa River is a river in Japan’s Kansai region that flows through Hyōgo Prefecture, including the city of Amagasaki, before emptying into Osaka Bay.
-
C.
Kizugawa
Kizugawa is a city in southern Kyoto Prefecture, Japan, known for its mix of historical sites, residential areas, and growing industrial and research facilities.
-
D.
Waki River
The Waki River is a significant waterway in the Guiana region that serves as an important tributary within the Maroni River basin.
-
E.
Takahashi River
The Takahashi River is a major river in Okayama Prefecture, Japan, flowing through cities such as Kurashiki before emptying into the Seto Inland Sea.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818893348190a6ea2ff6a2e3e491 |
completed | March 31, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0542a84dc819092a1dce08cc12a6d |
completed | April 3, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69d055a47dc48190a088315c017e144b |
completed | April 4, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0562e41bc8190801c75e962600df2 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 6:04 p.m.