Triple
T6672266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infanta Sofía of Spain |
E151758
|
entity |
| Predicate | relativePositionToLeonor |
P72395
|
FINISHED |
| Object | younger sister |
—
|
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: younger sister | Statement: [Infanta Sofía of Spain, relativePositionToLeonor, younger sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativePositionToLeonor Context triple: [Infanta Sofía of Spain, relativePositionToLeonor, younger sister]
-
A.
relativePosition
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
B.
monarchRelativeOf
Indicates a familial or kinship relationship between a monarch and another individual.
-
C.
reignLocation
Indicates the place or territory over which an entity rules or exercises sovereign authority.
-
D.
relativeOfMainCharacter
Indicates that one entity is a family member or relative of the main character entity.
-
E.
relativePositionToAlexanderIII
Indicates the spatial or hierarchical position of an entity in relation to Alexander III.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce738fe88190a5557900efeec7ec |
completed | March 27, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69c6ad09974c81908784300ae218961f |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6ce72809c8190be85f6e42ca1c8ea |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 2:03 p.m.