Triple
T29324478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministro degli Affari Esteri e della Cooperazione Internazionale |
E743604
|
entity |
| Predicate | sedeOperativa |
P162988
|
FINISHED |
| Object | Palazzo della Farnesina |
—
|
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: Palazzo della Farnesina | Statement: [Ministro degli Affari Esteri e della Cooperazione Internazionale, sedeOperativa, Palazzo della Farnesina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sedeOperativa Context triple: [Ministro degli Affari Esteri e della Cooperazione Internazionale, sedeOperativa, Palazzo della Farnesina]
-
A.
tieneSedePrincipal
chosen
Indicates that an entity has its main headquarters or principal office located in a specified place.
-
B.
agencyLocatedIn
Indicates that an agency is situated or based within a specific geographic or administrative location.
-
C.
headquartersOfBusiness
Indicates that a location serves as the main administrative center or principal office for a business.
-
D.
mainOffice
Indicates that one location or office serves as the primary or central office for an organization or entity.
-
E.
hasBaseOfOperations
Indicates that an entity uses a particular location as its primary place of operation or activity.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66894ce4c8190b1104ea889b98a8e |
completed | May 2, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:25 p.m.