Triple
T19796042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Januária of Brazil |
E475541
|
entity |
| Predicate | relativePositionInSuccession |
P62204
|
FINISHED |
| Object | heir presumptive before the birth of Pedro II’s children |
—
|
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: heir presumptive before the birth of Pedro II’s children | Statement: [Princess Januária of Brazil, relativePositionInSuccession, heir presumptive before the birth of Pedro II’s children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativePositionInSuccession Context triple: [Princess Januária of Brazil, relativePositionInSuccession, heir presumptive before the birth of Pedro II’s children]
-
A.
relativePositioning
Indicates how one entity is spatially arranged or located in relation to another entity.
-
B.
relativePosition
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
C.
successionRelation
chosen
Indicates that one entity follows another in an ordered sequence, such as in time, position, or rank.
-
D.
successorRank
Indicates that one entity holds the next higher position or rank in an ordered hierarchy relative to another entity.
-
E.
successorRelationship
Indicates a relationship where one entity directly follows or replaces another in a sequence, order, or role.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c659088190928fa4c9264135d3 |
completed | April 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.