Triple
T32379190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Xuānzong of Tang |
E827365
|
entity |
| Predicate | relativeStabilityOfReign |
P188455
|
FINISHED |
| Object | relatively stable |
—
|
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: relatively stable | Statement: [Emperor Xuānzong of Tang, relativeStabilityOfReign, relatively stable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeStabilityOfReign Context triple: [Emperor Xuānzong of Tang, relativeStabilityOfReign, relatively stable]
-
A.
reignStability
chosen
Indicates the degree to which a ruler’s period of governance is characterized by continuity, order, and absence of major disruptions or conflicts.
-
B.
reignCertainty
Indicates how certain or uncertain it is that a particular reign or period of rule actually occurred or is correctly assigned.
-
C.
reignDuration
Indicates the length of time during which an entity held ruling or governing authority over a domain or group.
-
D.
reignLengthsType
Indicates the type or categorization of the duration of a reign (e.g., how a reign’s length is classified).
-
E.
numberOfReigns
Indicates the count of distinct reigns or ruling periods associated with an entity.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:51 a.m.