Triple
T9928119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shunzhi Emperor |
E192574
|
entity |
| Predicate | tookThroneAtAge |
P16922
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Shunzhi Emperor, tookThroneAtAge, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookThroneAtAge Context triple: [Shunzhi Emperor, tookThroneAtAge, 5]
-
A.
ageAtStartOfReign
chosen
Indicates the age an individual was when they began their reign or rule.
-
B.
placedOnThrone
Indicates that an entity is formally elevated to a position of rulership or authority, typically by being seated on a throne.
-
C.
ascendedToThroneAs
Indicates that an individual assumed royal power and officially became the reigning monarch under a specific title or role.
-
D.
succeededToThroneBy
Indicates that one ruler or monarch is followed in succession by another who takes over the throne.
-
E.
reignAsCrownPrinceFrom
Indicates the period during which a person holds and exercises the official status and role of crown prince of a particular realm or title.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb59d7ad08190982a1584547190bd |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.