Triple
T20515157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryūjin |
E503665
|
entity |
| Predicate | featureIn |
P80690
|
FINISHED |
| Object | Urashima Tarō |
—
|
NE NERFINISHED |
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: Urashima Tarō | Statement: [Ryūjin, featureIn, Urashima Tarō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urashima Tarō Context triple: [Ryūjin, featureIn, Urashima Tarō]
-
A.
Kotoshironushi
Kotoshironushi is a Shinto deity associated with good fortune, fishing, and commerce, often identified with the god Ebisu.
-
B.
Tarō
Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
-
C.
Kinkei-san
Kinkei-san is one of the notable peaks of Japan’s rugged Mount Myogi, known for its dramatic rock formations and popular hiking routes.
-
D.
Yodo-dono
Yodo-dono was a prominent Japanese noblewoman and political figure of the late Sengoku period, best known as Toyotomi Hideyoshi’s consort and the mother of his heir, Toyotomi Hideyori.
-
E.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urashima Tarō Target entity description: Urashima Tarō is a famous Japanese folktale about a fisherman who visits an undersea palace and returns to find that centuries have passed in the human world.
-
A.
Kotoshironushi
Kotoshironushi is a Shinto deity associated with good fortune, fishing, and commerce, often identified with the god Ebisu.
-
B.
Tarō
Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
-
C.
Kinkei-san
Kinkei-san is one of the notable peaks of Japan’s rugged Mount Myogi, known for its dramatic rock formations and popular hiking routes.
-
D.
Yodo-dono
Yodo-dono was a prominent Japanese noblewoman and political figure of the late Sengoku period, best known as Toyotomi Hideyoshi’s consort and the mother of his heir, Toyotomi Hideyori.
-
E.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureIn Context triple: [Ryūjin, featureIn, Urashima Tarō]
-
A.
featuresIn
chosen
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
B.
featuresMode
Indicates that one entity operates in, supports, or is characterized by a particular mode or configuration specified by another entity.
-
C.
designedFeature
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
D.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
E.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
- F. None of above.
Provenance (3 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4133048190abb777be4b65c2c4 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.