Triple
T22267632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenson kōrin |
E550390
|
entity |
| Predicate | hasDestinationRealm |
P147605
|
FINISHED |
| Object | Ashihara-no-Nakatsukuni |
—
|
NE NERFINISHED |
How this triple was built (2 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: Ashihara-no-Nakatsukuni | Statement: [Tenson kōrin, hasDestinationRealm, Ashihara-no-Nakatsukuni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDestinationRealm Context triple: [Tenson kōrin, hasDestinationRealm, Ashihara-no-Nakatsukuni]
-
A.
hasDestinationRegion
Indicates that something is directed, sent, or intended to arrive at a particular geographic or logical region as its destination.
-
B.
hasDestinationState
Indicates that an entity is associated with, directed toward, or results in a particular destination state or condition.
-
C.
hasPrivateDestination
Indicates that an entity is associated with a destination that is not publicly accessible or is intended for restricted/private use.
-
D.
isDestinationFor
Indicates that one entity serves as the endpoint or target location that another entity is intended to reach or be directed toward.
-
E.
hasMainDestination
Indicates that an entity is primarily intended to go to, serve, or be directed toward a particular destination.
- F. None of above. chosen
Provenance (4 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bd0ea88190b3574883b695d56c |
completed | April 28, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:39 p.m.