Triple
T25160408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarzer König |
E626419
|
entity |
| Predicate | possibleReferentType |
P114972
|
FINISHED |
| Object | foreign monarch |
—
|
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: foreign monarch | Statement: [Schwarzer König, possibleReferentType, foreign monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleReferentType Context triple: [Schwarzer König, possibleReferentType, foreign monarch]
-
A.
possibleTypeOfReferent
chosen
Indicates that something could be a potential or candidate type or category to which a given referent may belong, without asserting that it definitively is that type.
-
B.
referenceType
Indicates the specific kind or category of reference relationship that one entity has to another.
-
C.
requiresReferent
Indicates that one entity depends on or must reference another specific entity in order to be valid, interpretable, or complete.
-
D.
hasReferentKnownFor
Indicates that the referent (the thing being referred to) is known or notable for a particular characteristic, role, or achievement.
-
E.
possibleElement
Indicates that something can potentially be a member, component, or constituent part of another entity or set, without asserting that it actually is.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 6:31 a.m.