Triple
T34968798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazon-Ogla |
E1008476
|
entity |
| Predicate | interSectRelations |
P196470
|
FINISHED |
| Object | rivalry with other Kazon sects |
—
|
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: rivalry with other Kazon sects | Statement: [Kazon-Ogla, interSectRelations, rivalry with other Kazon sects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interSectRelations Context triple: [Kazon-Ogla, interSectRelations, rivalry with other Kazon sects]
-
A.
intersectionType
Indicates the specific kind or category of intersection relationship that exists between two or more entities.
-
B.
establishesRelationsBetween
Indicates that one entity creates, initiates, or formalizes a connection or association between two or more other entities.
-
C.
testsRelation
Indicates a relationship where one entity evaluates, examines, or verifies another entity, typically to assess its properties, behavior, or correctness.
-
D.
intersectionRole
Indicates a role or function that an entity specifically holds at the point where two or more entities, paths, or sets intersect.
-
E.
isIntersectionOf
Indicates that something is the exact common part shared by two or more other things, typically where they overlap or meet.
- 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_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
| PDg | Predicate description generation | batch_69fe38bc3e9c8190838430b22b82503f |
completed | May 8, 2026, 7:25 p.m. |
Created at: May 3, 2026, 4 p.m.