Triple
T33667171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeongeup |
E862520
|
entity |
| Predicate | hasPeasantMovementHistory |
P6332
|
FINISHED |
| Object | late 19th century uprisings |
—
|
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: late 19th century uprisings | Statement: [Jeongeup, hasPeasantMovementHistory, late 19th century uprisings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeasantMovementHistory Context triple: [Jeongeup, hasPeasantMovementHistory, late 19th century uprisings]
-
A.
hasHistoricalPolity
Indicates a relationship where an entity is associated with a political unit or state that existed in the past.
-
B.
hasPopularMovement
Indicates that an entity is associated with or gives rise to a widely supported social, political, or cultural movement.
-
C.
hasRevolutionaryHeritage
Indicates that an entity possesses a background, lineage, or history closely connected to revolutionary movements, activities, or figures.
-
D.
historicalMovementAssociatedWith
chosen
Indicates that there is an association between an entity and a historical movement, such as a social, political, cultural, or ideological current in history.
-
E.
hasHistoricalEvent
Indicates that a historical event occurred in, is associated with, or is relevant to a particular 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:42 a.m.