Triple
T23337593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Xiaojingcheng |
E591638
|
entity |
| Predicate | courtInfluencePeriod |
P151921
|
FINISHED |
| Object | late Daoguang era |
—
|
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: late Daoguang era | Statement: [Empress Xiaojingcheng, courtInfluencePeriod, late Daoguang era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtInfluencePeriod Context triple: [Empress Xiaojingcheng, courtInfluencePeriod, late Daoguang era]
-
A.
courtInfluence
Indicates that one party exerts or holds influence over decisions, outcomes, or behavior within a court or judicial setting.
-
B.
courtInfluenceUnder
Indicates that one court operates under the legal authority, jurisdiction, or influence of another, higher court.
-
C.
influencedCourtDecision
Indicates that one entity had an effect on or contributed to the outcome of a court’s decision regarding another entity or matter.
-
D.
influencedByCourtCase
Indicates that an entity’s state, decision, or development is shaped or altered as a result of a specific court case or its outcome.
-
E.
jurisdictionPeriod
Indicates the time span during which a particular authority or entity holds legal or official jurisdiction over something.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1982f8574819090f8b0ba249237a3 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:17 p.m.