Triple
T30192202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Xiaozhaoren |
E767520
|
entity |
| Predicate | yearBecameEmpress |
P15466
|
FINISHED |
| Object | 1678 |
—
|
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: 1678 | Statement: [Empress Xiaozhaoren, yearBecameEmpress, 1678]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearBecameEmpress Context triple: [Empress Xiaozhaoren, yearBecameEmpress, 1678]
-
A.
eraAsEmpress
Indicates the time period during which a person held the role or status of empress.
-
B.
reignAsEmpress
Indicates that a person holds and exercises the supreme imperial authority in the role of empress over a realm or empire.
-
C.
monarchDuringReignAsEmpress
Indicates that the subject was the reigning monarch during the period in which she held the title of empress.
-
D.
reignAsEmpressConsortBegan
chosen
Indicates the point in time when an individual began their tenure or role as an empress consort.
-
E.
realmAsEmpress
Indicates that an entity holds the position or role of empress over a specified realm or domain.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f84b03c8190a2574fde91d86e8c |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:29 p.m.