Triple
T29258193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 後周 |
E741761
|
entity |
| Predicate | majorReformer |
P48432
|
FINISHED |
| Object | 柴榮 |
—
|
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: 柴榮 | Statement: [後周, majorReformer, 柴榮]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorReformer Context triple: [後周, majorReformer, 柴榮]
-
A.
reformerOf
chosen
Indicates that one entity is the person or agent who initiated or carried out significant reforms or changes to another entity.
-
B.
notableReformerOpposition
Indicates that a notable reformer actively opposed, resisted, or campaigned against the referenced person, group, policy, or institution.
-
C.
subjectToReformBy
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
-
D.
majorRepresentative
Indicates that one entity serves as the primary or main representative of another entity.
-
E.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: April 28, 2026, 12:39 p.m.