Triple
T34681517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirteen Classics |
E890632
|
entity |
| Predicate | coreCurriculumFor |
P10895
|
FINISHED |
| Object | civil service examinations in China |
—
|
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: civil service examinations in China | Statement: [Thirteen Classics, coreCurriculumFor, civil service examinations in China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreCurriculumFor Context triple: [Thirteen Classics, coreCurriculumFor, civil service examinations in China]
-
A.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
B.
curriculumIncluded
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
-
C.
usesCurriculum
chosen
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
D.
curriculumOrigin
Indicates that one entity is the source, creator, or originating context from which a particular curriculum is derived or developed.
-
E.
targetCurriculumLevel
Indicates the curriculum level or educational stage that an activity, resource, or objective is intended to address.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f723282ac48190855661f3023221db |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.