Triple
T25544313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bel-imperia |
E640254
|
entity |
| Predicate | relativeTypeToKingOfSpain |
P191076
|
FINISHED |
| Object | niece |
—
|
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: niece | Statement: [Bel-imperia, relativeTypeToKingOfSpain, niece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeTypeToKingOfSpain Context triple: [Bel-imperia, relativeTypeToKingOfSpain, niece]
-
A.
symbolicRelationToKingship
Indicates a symbolic or representational connection between something and the concept, status, or authority of kingship.
-
B.
monarchOnSpanishSide
Indicates that the monarch is aligned with, supports, or belongs to the Spanish side in a conflict, alliance, or political division.
-
C.
relationshipToCharlesV
Indicates the specific familial or social relationship that one entity has to Charles V.
-
D.
associatedWithMonarchyType
Indicates that an entity has a connection or relevance to a particular type or form of monarchy.
-
E.
hasRoyalAncestryFrom
Indicates that one entity possesses royal lineage or descent originating from 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: April 21, 2026, 3:27 p.m.