Triple
T14673548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varco Sabino |
E344574
|
entity |
| Predicate | hasLocalAdministrativeStatus |
P45375
|
FINISHED |
| Object | comune |
—
|
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: comune | Statement: [Varco Sabino, hasLocalAdministrativeStatus, comune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalAdministrativeStatus Context triple: [Varco Sabino, hasLocalAdministrativeStatus, comune]
-
A.
hasLocalGovernmentAreaStatus
chosen
Indicates that an entity holds the official designation or recognition as a local government area within a defined administrative system.
-
B.
hasAdministrativeStatusSince
Indicates that an entity has held a particular administrative status continuously from a specified point in time onward.
-
C.
administrativeStatusOfEntityRepresented
Indicates the current administrative or operational status assigned to the entity that is being represented.
-
D.
hasNeighbourhoodStatus
Indicates that an entity has a particular status, classification, or condition specifically in relation to a given neighbourhood.
-
E.
hasAdministrativeSignificance
Indicates that something holds official importance, authority, or relevance within an administrative or governmental context.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.