Triple
T25399940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪城 |
E636391
|
entity |
| Predicate | 指定主体 |
P66302
|
FINISHED |
| Object | 日本国政府 |
—
|
LITERAL FINISHED |
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: 日本国政府 | Statement: [大阪城, 指定主体, 日本国政府]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 指定主体 Context triple: [大阪城, 指定主体, 日本国政府]
-
A.
subjectCanBe
Indicates that the subject has the potential or capability to assume, become, or be classified as the specified object or state.
-
B.
specifiedFor
chosen
Indicates that something is designated or intended to be used for a particular entity, purpose, or context.
-
C.
subjectOfExecution
Indicates that one entity is the object or target upon which an execution (carrying out of a death sentence) is performed by another entity.
-
D.
uniqueRecipient
Indicates that an action or item is directed to exactly one distinct recipient, with no other recipients involved.
-
E.
appointedOnBehalfOf
Indicates that an appointment or designation is made by one party acting in representation of, or for the benefit of, another party.
- 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f584f978a881909842e36f61b9a40a |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:50 p.m.