Triple
T27726136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick I, Count of Mark |
E699100
|
entity |
| Predicate | feudalLordType |
P57399
|
FINISHED |
| Object | imperial count |
—
|
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: imperial count | Statement: [Frederick I, Count of Mark, feudalLordType, imperial count]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feudalLordType Context triple: [Frederick I, Count of Mark, feudalLordType, imperial count]
-
A.
feudalType
chosen
Indicates the specific kind or category of feudal relationship, structure, or tenure that applies between the related entities.
-
B.
feudType
Indicates the specific kind or category of ongoing conflict or long-standing hostility that exists between entities.
-
C.
feudalFunction
Indicates the role or duty an entity holds within a feudal hierarchy, such as obligations, services, or functions owed to or performed for another.
-
D.
feudalTitleOver
Indicates a hierarchical feudal relationship in which one party holds formal title-based authority or overlordship over another.
-
E.
typeOfFeudalGrant
Indicates the specific kind or category of feudal grant that characterizes the relationship between a grantor and a grantee within a feudal system.
- 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6364042dc8190a2dc2133ec220baa |
completed | May 2, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 3:09 p.m.