Triple
T27168181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Mirafiori |
E682832
|
entity |
| Predicate | usedByNobilityOf |
P64068
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Countess of Mirafiori, usedByNobilityOf, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByNobilityOf Context triple: [Countess of Mirafiori, usedByNobilityOf, Italy]
-
A.
usedByNobility
chosen
Indicates that something is employed, possessed, or utilized specifically by members of the nobility.
-
B.
usedByNobleFamily
Indicates that something is employed, possessed, or otherwise utilized by a noble family.
-
C.
involvedNobility
Indicates that the entities participated in or were associated with an event, action, or situation in the capacity of nobility or aristocratic status.
-
D.
usedInMonarchy
Indicates that something is employed, practiced, or functions within the context of a monarchical system of government.
-
E.
nobilityClass
Indicates that an entity belongs to, or is associated with, a particular class or rank within a nobility hierarchy.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 27, 2026, 9:22 a.m.