Triple
T10759188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic civil wars |
E253778
|
entity |
| Predicate | latestMajorConflict |
P95832
|
FINISHED |
| Object | Abbasid–Umayyad power struggle |
—
|
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: Abbasid–Umayyad power struggle | Statement: [Islamic civil wars, latestMajorConflict, Abbasid–Umayyad power struggle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latestMajorConflict Context triple: [Islamic civil wars, latestMajorConflict, Abbasid–Umayyad power struggle]
-
A.
startOfMajorConflict
Indicates that one event marks the beginning or initial outbreak of a major conflict between parties.
-
B.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
C.
majorConflictYear
Indicates the year in which a major conflict, such as a war or large-scale violent confrontation, took place or reached a defining point.
-
D.
militaryConflictView
Indicates a perspective, interpretation, or representation of a specific military conflict or battle.
-
E.
militaryConflictIn
Indicates that a military conflict takes place within, or is geographically located in, a specified area or region.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72ea21c5081908babc049d0330a75 |
completed | April 9, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:16 p.m.