Triple
T13125998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongguang Emperor |
E311844
|
entity |
| Predicate | shortLivedReign |
P108188
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hongguang Emperor, shortLivedReign, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortLivedReign Context triple: [Hongguang Emperor, shortLivedReign, true]
-
A.
endOfReign
Indicates the point in time or event at which a ruler’s or leader’s period of authority or reign concludes.
-
B.
reignDuration
Indicates the length of time during which an entity held ruling or governing authority over a domain or group.
-
C.
describesReignOf
Indicates that something (such as a text, record, or account) provides information about the period during which a particular ruler or authority was in power.
-
D.
reignTo
Indicates that one entity exercises ruling authority or governance over another entity or domain during a particular period.
-
E.
modifiedDuringReignOf
Indicates that an entity was altered, updated, or changed while a particular ruler or authority was in power.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819946808190b41335fb1054accd |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:07 p.m.