Triple
T16138401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caizhou |
E391588
|
entity |
| Predicate | historicalEventSignificance |
P4345
|
FINISHED |
| Object | marked the extinction of the Jin dynasty |
—
|
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: marked the extinction of the Jin dynasty | Statement: [Caizhou, historicalEventSignificance, marked the extinction of the Jin dynasty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalEventSignificance Context triple: [Caizhou, historicalEventSignificance, marked the extinction of the Jin dynasty]
-
A.
historicalImpact
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
-
B.
hasHistoricSignificanceFor
Indicates that something holds notable historical importance or relevance for a particular entity or group.
-
C.
hasHistoricalSignificance
chosen
Indicates that something possesses notable importance or influence within a historical context or period.
-
D.
historicalPeriodOfSignificance
Indicates the time period during which an entity is considered to have had its most important or influential historical impact.
-
E.
historicalEventsDescribed
Indicates that one entity (such as a document, text, or account) describes or recounts the historical events associated with another 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a06e0988190b5cd62d422d058a2 |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.