Triple
T20538691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soave |
E504267
|
entity |
| Predicate | hasNearbyHills |
P140464
|
FINISHED |
| Object | vine-covered hills |
—
|
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: vine-covered hills | Statement: [Soave, hasNearbyHills, vine-covered hills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyHills Context triple: [Soave, hasNearbyHills, vine-covered hills]
-
A.
hasNearbyHillRange
Indicates that one entity is located close to or within the vicinity of a range of hills associated with the other entity.
-
B.
hasApproximateNumberOfHills
Indicates that an entity is associated with an estimated or imprecise count of hills rather than an exact number.
-
C.
containsHill
Indicates that one entity geographically includes or encompasses a hill within its area or boundaries.
-
D.
hasNearestMountain
Indicates that one entity is the closest mountain geographically relative to another entity.
-
E.
hasHigherPeaksNearby
Indicates that an entity is located near other entities whose peak elevations are higher than its own.
- F. None of above. chosen
Provenance (4 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29006008190aa1ee3224c75ff4b |
completed | April 20, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:37 a.m.