Triple
T35347801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Bourbon-Two Sicilies |
E1020789
|
entity |
| Predicate | statusAfterItalianUnification |
P81699
|
FINISHED |
| Object | non-sovereign |
—
|
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: non-sovereign | Statement: [Princess of Bourbon-Two Sicilies, statusAfterItalianUnification, non-sovereign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterItalianUnification Context triple: [Princess of Bourbon-Two Sicilies, statusAfterItalianUnification, non-sovereign]
-
A.
statusAfterConfederation
Indicates the condition or standing of an entity following the formation or establishment of a confederation.
-
B.
unificationLedTo
Indicates that a process of unifying previously separate entities resulted in or caused a particular outcome or state.
-
C.
statusAfter1871
chosen
Indicates the status or condition of an entity as it exists after the year 1871, typically in contrast to its prior status.
-
D.
ItalyFormation
Indicates the event or process by which Italy was established or formed as a unified or distinct political entity.
-
E.
statusAfterFranco
Indicates the status or condition of an entity following the period or rule associated with Franco.
- 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_69f76decd95c8190ae428f6a19d535de |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7eb7189c81909a8f73fbc4c48e02 |
completed | May 9, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69ff7e54e11081908fb5ce10c5aa7b53 |
completed | May 9, 2026, 6:35 p.m. |
Created at: May 3, 2026, 4:03 p.m.