Triple
T5905059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 悠仁親王 |
E131322
|
entity |
| Predicate | 身分 |
P66843
|
FINISHED |
| Object | 内親王・親王等のうちの親王 |
—
|
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: 内親王・親王等のうちの親王 | Statement: [悠仁親王, 身分, 内親王・親王等のうちの親王]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 身分 Context triple: [悠仁親王, 身分, 内親王・親王等のうちの親王]
-
A.
identityRevealedIn
Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
-
B.
subjectIdentity
Indicates that two or more references correspond to the same underlying entity or individual identity.
-
C.
identityConcept
Indicates that two concepts are the same in identity, representing exactly the same underlying idea or meaning.
-
D.
identificationRole
Indicates that an entity serves as an identifier or plays a role in uniquely distinguishing or recognizing another entity.
-
E.
roleInTaiwan
Indicates that an entity holds or has held an official or notable role, position, or function within the political, administrative, or social context of Taiwan.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03edf98b881908e9dbc03d3fd6218 |
completed | March 22, 2026, 7:11 p.m. |
Created at: March 22, 2026, 3:59 p.m.