Triple
T29635439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanza |
E755699
|
entity |
| Predicate | isInNationalParkArea |
P9791
|
FINISHED |
| Object | Cilento and Vallo di Diano National Park |
—
|
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: Cilento and Vallo di Diano National Park | Statement: [Sanza, isInNationalParkArea, Cilento and Vallo di Diano National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNationalParkArea Context triple: [Sanza, isInNationalParkArea, Cilento and Vallo di Diano National Park]
-
A.
withinNationalPark
chosen
Indicates that one entity is located inside the geographic boundaries of a national park designated by another entity.
-
B.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
C.
locatedInNationalParkOrQuasiNationalPark
Indicates that something is situated within the boundaries of a national park or a quasi-national park.
-
D.
isWithinParkSystem
Indicates that one area, facility, or feature is located inside and belongs to a designated park system.
-
E.
locatedInNationalOrProvincialPark
Indicates that one entity is situated within the boundaries of a national or provincial park.
- 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66e6a2790819082fb230e553bf4c5 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:44 p.m.