Triple
T34968813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazon-Ogla |
E1008476
|
entity |
| Predicate | conflictMotivation |
P182148
|
FINISHED |
| Object | desire for power and resources |
—
|
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: desire for power and resources | Statement: [Kazon-Ogla, conflictMotivation, desire for power and resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictMotivation Context triple: [Kazon-Ogla, conflictMotivation, desire for power and resources]
-
A.
conflictGoal
Indicates a relationship where one entity’s goal is incompatible with, obstructs, or opposes another entity’s goal.
-
B.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
causeOfPoliticalConflict
Indicates that one entity is the source or reason for a political conflict involving another entity.
-
D.
exploresConflictBetween
Indicates a relationship where one entity examines, analyzes, or delves into the tensions, disagreements, or opposing forces involving another entity or set of entities.
-
E.
hasCauseOfConflict
Indicates a relationship where one entity is the source or reason for a conflict involving another entity.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7870dfe108190996c0c68630edc7f |
completed | May 3, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4 p.m.