Triple
T38655888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountains of Sicily |
E939889
|
entity |
| Predicate | elevationMaxNote |
P19320
|
FINISHED |
| Object | approximate maximum elevation at Mount Etna |
—
|
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: approximate maximum elevation at Mount Etna | Statement: [Mountains of Sicily, elevationMaxNote, approximate maximum elevation at Mount Etna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationMaxNote Context triple: [Mountains of Sicily, elevationMaxNote, approximate maximum elevation at Mount Etna]
-
A.
elevationRangeUpperBound
Indicates the maximum elevation value that bounds the upper limit of an elevation range for something.
-
B.
highestElevationApprox
chosen
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
-
C.
mountainElevationContext
Indicates the contextual relationship between a mountain and its elevation, such as how high it is relative to surrounding terrain or reference points.
-
D.
peakElevationMetres
Indicates the maximum height of an entity above sea level, measured in metres.
-
E.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:33 p.m.