Triple
T2715042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial China |
E59947
|
entity |
| Predicate | hasEliteClass |
P20239
|
FINISHED |
| Object | scholar-officials |
—
|
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: scholar-officials | Statement: [Imperial China, hasEliteClass, scholar-officials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEliteClass Context triple: [Imperial China, hasEliteClass, scholar-officials]
-
A.
isEliteUnit
Indicates that the unit belongs to a specially trained, highly capable subgroup distinguished from regular units.
-
B.
hasHigherClass
Indicates that one entity belongs to a higher rank, level, or category in a hierarchy than another entity.
-
C.
hasCivilianClass
Indicates that an entity is associated with or belongs to a particular civilian classification or category.
-
D.
elite
chosen
Indicates that the subject belongs to a select, superior, or highly privileged subset within a larger group or category.
-
E.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda93a2388190b55a1c821ef6bc64 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.