Triple
T30519525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umar ibn Hafsun and his followers |
E776655
|
entity |
| Predicate | durationOfRevolt |
P161777
|
FINISHED |
| Object | several decades |
—
|
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: several decades | Statement: [Umar ibn Hafsun and his followers, durationOfRevolt, several decades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationOfRevolt Context triple: [Umar ibn Hafsun and his followers, durationOfRevolt, several decades]
-
A.
revoltOccurredDuring
Indicates that a revolt took place within the temporal span of a specified event or period.
-
B.
insurgencyDuration
chosen
Indicates the length of time over which an insurgency persists or is active.
-
C.
rebellionOccurredAfter
Indicates that the rebellion took place later in time than the referenced event or situation.
-
D.
facedRebellionBy
Indicates that an entity experienced opposition or an uprising initiated by another entity.
-
E.
overthrowDuration
Indicates the length of time over which an overthrow (such as a coup or removal from power) takes place or remains in effect.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6880930e4819084605c33854cf72a |
completed | May 2, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:17 p.m.