Triple
T21519105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodo |
E530925
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object |
nagado-daiko
Nagado-daiko is a traditional Japanese barrel-shaped drum commonly used in taiko ensembles for its deep, powerful sound.
|
E1488651
|
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: nagado-daiko | Statement: [Kodo, hasInstrument, nagado-daiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nagado-daiko Context triple: [Kodo, hasInstrument, nagado-daiko]
-
A.
Nanko-kita
Nanko-kita is a district within Osaka’s artificial Sakishima Island area, known for its waterfront urban development and commercial facilities.
-
B.
Daiukku
Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
-
C.
Daikanbo
Daikanbo is a scenic viewpoint along Japan’s Tateyama Kurobe Alpine Route, renowned for its panoramic views of the surrounding Northern Japan Alps.
-
D.
Naidaijin
Naidaijin was a high-ranking ministerial position in Japan’s classical imperial government, situated just below the top chancellors in the court hierarchy.
-
E.
Nakadori
Nakadori is the central inland region of Fukushima Prefecture in Japan, known for its transportation corridors, agriculture, and major cities such as Fukushima and Kōriyama.
- 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: nagado-daiko Triple: [Kodo, hasInstrument, nagado-daiko]
Generated description
Nagado-daiko is a traditional Japanese barrel-shaped drum commonly used in taiko ensembles for its deep, powerful sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: nagado-daiko Target entity description: Nagado-daiko is a traditional Japanese barrel-shaped drum commonly used in taiko ensembles for its deep, powerful sound.
-
A.
Nanko-kita
Nanko-kita is a district within Osaka’s artificial Sakishima Island area, known for its waterfront urban development and commercial facilities.
-
B.
Daiukku
Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
-
C.
Daikanbo
Daikanbo is a scenic viewpoint along Japan’s Tateyama Kurobe Alpine Route, renowned for its panoramic views of the surrounding Northern Japan Alps.
-
D.
Naidaijin
Naidaijin was a high-ranking ministerial position in Japan’s classical imperial government, situated just below the top chancellors in the court hierarchy.
-
E.
Nakadori
Nakadori is the central inland region of Fukushima Prefecture in Japan, known for its transportation corridors, agriculture, and major cities such as Fukushima and Kōriyama.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884af0f08190bc1f3d70e57a325d |
completed | April 26, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e82521248190b6b84a3074d70be1 |
completed | May 17, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_6a09e92969c881908b865da9d78cc48e |
completed | May 17, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e9ad9da08190b222b06c41734994 |
completed | May 17, 2026, 4:15 p.m. |
Created at: April 16, 2026, 6:25 p.m.