Triple
T36844500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Marta |
E910503
|
entity |
| Predicate | hasRegalNickname |
—
|
GENERATED |
| Object | "Queen Marta" |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegalNickname Context triple: [Queen Marta, hasRegalNickname, "Queen Marta"]
-
A.
hasNicknames
Indicates that an entity is known or referred to by one or more alternative informal names.
-
B.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
C.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
D.
hasRoyalEpithets
chosen
Indicates that an entity is associated with one or more honorific or ceremonial titles traditionally used for royalty.
-
E.
hasRoyalNameElement
Indicates that an entity’s name includes a component that is associated with royalty or a royal title.
- F. None of above.
Provenance (1 batch)
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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.