Triple
T23819097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Zhou Gong |
E589178
|
entity |
| Predicate | hasCanonicalSubject |
P152370
|
FINISHED |
| Object | Duke of Zhou as cultural model of virtue and governance |
—
|
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: Duke of Zhou as cultural model of virtue and governance | Statement: [Temple of Zhou Gong, hasCanonicalSubject, Duke of Zhou as cultural model of virtue and governance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalSubject Context triple: [Temple of Zhou Gong, hasCanonicalSubject, Duke of Zhou as cultural model of virtue and governance]
-
A.
hasCanonicalTopic
chosen
Indicates that something is associated with its primary or standard topic as officially recognized or most commonly accepted.
-
B.
hasCanonicalReference
Indicates that one entity serves as the authoritative or standard reference source for another entity.
-
C.
hasCanonicalRepresentation
Indicates that one entity is the standard or authoritative form in which another entity is represented.
-
D.
hasCanonicalTerm
Indicates that one term in a set is designated as the standard or authoritative form used to represent a concept or entity.
-
E.
hasCanonicalCategory
Indicates that something is associated with its standard or officially recognized category within a classification system.
- 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7ad0ec88190bace5c3f00908b30 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:58 p.m.