Triple
T31251041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhenyuan |
E796816
|
entity |
| Predicate | predecessorEmperorEra |
P182769
|
FINISHED |
| Object | Daizong’s Dali era (indirect predecessor) |
—
|
NE NERFINISHED |
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: Daizong’s Dali era (indirect predecessor) | Statement: [Zhenyuan, predecessorEmperorEra, Daizong’s Dali era (indirect predecessor)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorEmperorEra Context triple: [Zhenyuan, predecessorEmperorEra, Daizong’s Dali era (indirect predecessor)]
-
A.
predecessorEraRuler
Indicates that one ruler directly preceded another as the ruler of a given era or period.
-
B.
previousEmperorReignName
Indicates that the subject emperor’s reign name immediately precedes the object emperor’s reign name in historical succession.
-
C.
precededByMonarchEra
chosen
Indicates that one monarch’s reign or era occurred immediately before another specified monarch’s era in a temporal sequence.
-
D.
predecessorAsEasternRuler
Indicates that one entity previously held the position of eastern ruler before another entity assumed that same role.
-
E.
eraOfEmperor
Indicates the historical time period during which a particular emperor held power or reigned.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 29, 2026, 9:11 p.m.