Triple
T3511668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuande Emperor |
E74207
|
entity |
| Predicate | numberOfYearReign |
P22408
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Xuande Emperor, numberOfYearReign, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfYearReign Context triple: [Xuande Emperor, numberOfYearReign, 10]
-
A.
reignDuration
chosen
Indicates the length of time during which an entity held ruling or governing authority over a domain or group.
-
B.
periodOfRule
Indicates the span of time during which an entity exercised authority, control, or governance over something.
-
C.
chronologyWithinReignOf
Indicates that one event or time period occurs entirely within the span of a specified ruler’s reign.
-
D.
dynastyRuled
Indicates that a particular dynasty held ruling authority or governance over a specified region, state, or people during a certain period.
-
E.
adoptedDuringReignOf
Indicates that one entity (such as a law, policy, or practice) was adopted or came into effect while another entity (typically a ruler or leader) was in power or reigning.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0f6cf8819098a1ec8693cc50e7 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.