Triple
T29574461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hejian, Zhili, Qing dynasty |
E753403
|
entity |
| Predicate | usedChineseImperialAdministrativeSystem |
P168155
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hejian, Zhili, Qing dynasty, usedChineseImperialAdministrativeSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedChineseImperialAdministrativeSystem Context triple: [Hejian, Zhili, Qing dynasty, usedChineseImperialAdministrativeSystem, yes]
-
A.
statusInImperialChina
Indicates the social, political, or bureaucratic standing an entity holds within the hierarchical system of Imperial China.
-
B.
usedChineseImperialTitles
Indicates that an entity employed official titles from the traditional Chinese imperial hierarchy in reference to another entity.
-
C.
imperialAdministration
Indicates the exercise or structure of centralized governing authority by an empire over its territories or subjects.
-
D.
compiledUnderDynasty
Indicates that a work or document was compiled during the reign or period of a specific dynasty.
-
E.
usedChineseEraNames
Indicates that one entity employed or referenced Chinese era names in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 6:01 p.m.