Triple
T37304689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge of the Constitutional Court of Italy |
E926045
|
entity |
| Predicate | numberOfJudicialAppointees |
P205830
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Judge of the Constitutional Court of Italy, numberOfJudicialAppointees, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfJudicialAppointees Context triple: [Judge of the Constitutional Court of Italy, numberOfJudicialAppointees, 5]
-
A.
numberOfAssociateJustices
Indicates the total count of associate justices associated with a given judicial body or court.
-
B.
numberOfSupremeCourtJustices
Indicates the total count of individuals serving as justices on a specified Supreme Court.
-
C.
maximumAdditionalJustices
Indicates the greatest number of additional justices that can be added to an existing judicial body under the specified conditions.
-
D.
justicesConfirmedBy
Indicates that certain justices have been formally approved or confirmed by a specified confirming authority or body.
-
E.
numberOfCabinetMembers
Indicates the total count of cabinet members associated with a given government, administration, or leader.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:16 p.m.