Triple
T34626937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Bourbon-Orléans |
E889162
|
entity |
| Predicate | rivalBranch |
P22658
|
FINISHED |
| Object | Legitimist Bourbons |
—
|
NE NERFINISHED |
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: Legitimist Bourbons | Statement: [House of Bourbon-Orléans, rivalBranch, Legitimist Bourbons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rivalBranch Context triple: [House of Bourbon-Orléans, rivalBranch, Legitimist Bourbons]
-
A.
rivalOf
chosen
Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
-
B.
rivalInstitution
Indicates that one institution is in a state of competition or opposition with another institution.
-
C.
foundedAsRivalOf
Indicates that an entity was established specifically to compete with or challenge another entity.
-
D.
rivalryBasis
Indicates the underlying reason, cause, or grounds on which a rivalry between entities is based.
-
E.
bearerRivalOf
Indicates that the bearer is in a state of rivalry or competitive opposition with the related entity.
- 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_69f349d64a388190a013cfa9bd33fad7 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 2:04 a.m.