Triple
T28441217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banu Zughba |
E715714
|
entity |
| Predicate | impactOnStates |
P173249
|
FINISHED |
| Object | contributed to decline of Zirid 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: contributed to decline of Zirid dynasty | Statement: [Banu Zughba, impactOnStates, contributed to decline of Zirid dynasty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnStates Context triple: [Banu Zughba, impactOnStates, contributed to decline of Zirid dynasty]
-
A.
affectedU.S.State
Indicates that a particular U.S. state is impacted or influenced by a specified event, condition, or entity.
-
B.
nationalImpact
Indicates that something has a significant effect or influence at the level of an entire nation.
-
C.
effectOnUnitedStates
Indicates the impact, influence, or consequences that something has on the United States.
-
D.
effectOnFederalPower
Indicates how an action, decision, or condition changes, limits, or expands the authority or powers of the federal government.
-
E.
impactRegion
Indicates the geographic or spatial area that is affected or influenced by a particular event, action, or phenomenon.
- F. None of above. chosen
Provenance (4 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 28, 2026, 1:46 a.m.