Triple
T9450167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōita Prefecture |
E227866
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Taketa
Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
|
E812548
|
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: Taketa | Statement: [Ōita Prefecture, contains, Taketa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taketa Context triple: [Ōita Prefecture, contains, Taketa]
-
A.
Takaro
Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Togoshi
Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
-
D.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
-
E.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
- 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: Taketa Triple: [Ōita Prefecture, contains, Taketa]
Generated description
Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taketa Target entity description: Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
-
A.
Takaro
Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Togoshi
Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
-
D.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
-
E.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f6649a48190b6844daa6202efe5 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18208ba9081909efa44f98f90c11a |
completed | April 4, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d182ef83e881908a579b6a696ebdc3 |
completed | April 4, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1836f1be48190a172834ce9eaafe3 |
completed | April 4, 2026, 9:32 p.m. |
Created at: March 30, 2026, 7:51 p.m.