Triple
T35158156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Berico hill |
E1015184
|
entity |
| Predicate | hasPanoramicTerrace |
P194700
|
FINISHED |
| Object | Piazzale della Vittoria |
—
|
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: Piazzale della Vittoria | Statement: [Monte Berico hill, hasPanoramicTerrace, Piazzale della Vittoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanoramicTerrace Context triple: [Monte Berico hill, hasPanoramicTerrace, Piazzale della Vittoria]
-
A.
hasTerrace
Indicates that one entity includes, features, or is equipped with a terrace as part of its structure or property.
-
B.
hasBalconyOrTerrace
Indicates that an entity includes or is associated with a balcony or a terrace as part of its features.
-
C.
hasTerraceComplex
Indicates that one entity possesses or includes a terrace that is part of a larger, interconnected terrace structure or complex.
-
D.
hasPanoramaArea
chosen
Indicates that something includes or is associated with a designated area intended for panoramic viewing or wide-angle observation.
-
E.
hasPanoramicView
Indicates that something offers a wide, unobstructed view over a broad surrounding area.
- 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:02 p.m.