Triple
T38655889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountains of Sicily |
E939889
|
entity |
| Predicate | elevationSecondMax_m |
P186493
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Mountains of Sicily, elevationSecondMax_m, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationSecondMax_m Context triple: [Mountains of Sicily, elevationSecondMax_m, 1979]
-
A.
elevationOfSecondHighestPoint_m
chosen
Indicates the elevation, in meters, of the second-highest point associated with the given entity.
-
B.
elevationRangeUpperBound
Indicates the maximum elevation value that bounds the upper limit of an elevation range for something.
-
C.
peakElevationMetres
Indicates the maximum height of an entity above sea level, measured in metres.
-
D.
subpeakElevation
Indicates the elevation value associated with a subpeak relative to a main peak or surrounding terrain.
-
E.
isSecondHighestPeakIn
Indicates that one entity is the mountain or peak with the second greatest elevation within the geographic or contextual set defined by the other entity.
- 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_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:33 p.m.