Triple
T38235769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Designer Outlet Serravalle |
E1013615
|
entity |
| Predicate | visitorOrigin |
P74830
|
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: [Designer Outlet Serravalle, visitorOrigin, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitorOrigin Context triple: [Designer Outlet Serravalle, visitorOrigin, Italy]
-
A.
typicalVisitorOrigin
chosen
Indicates the usual geographic source or location from which visitors to a place, event, or entity most commonly come.
-
B.
visitorIs
Indicates that one entity is acting in the role or capacity of a visitor with respect to another entity.
-
C.
registrationOrigin
Indicates the source or context from which a registration event was initiated or created.
-
D.
visitorStatus
Indicates the current state or condition of an entity in its role as a visitor (e.g., whether they are active, pending, past, or otherwise classified in their visit).
-
E.
visitor
Indicates that one entity is present at or attending another entity’s location, event, or context as a non-permanent guest.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.