Triple
T14196076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 桂小五郎 |
E351837
|
entity |
| Predicate | 顕彰 |
P30712
|
FINISHED |
| Object | 日本の近代化に貢献した政治家として評価されている |
—
|
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: 日本の近代化に貢献した政治家として評価されている | Statement: [桂小五郎, 顕彰, 日本の近代化に貢献した政治家として評価されている]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 顕彰 Context triple: [桂小五郎, 顕彰, 日本の近代化に貢献した政治家として評価されている]
-
A.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
B.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
C.
honoredOn
Indicates that an entity is formally recognized, celebrated, or commemorated on a specific date or occasion.
-
D.
honoredThrough
Indicates that one entity is recognized or commemorated by means of another entity, event, or action.
-
E.
commemoratedFor
chosen
Indicates that one entity is honored, remembered, or celebrated because of a particular action, achievement, event, or characteristic associated with it.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.