Triple
T16798610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro de Monserrate |
E408295
|
entity |
| Predicate | transportModeToSummit |
P117172
|
FINISHED |
| Object | cable car |
—
|
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: cable car | Statement: [Cerro de Monserrate, transportModeToSummit, cable car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportModeToSummit Context triple: [Cerro de Monserrate, transportModeToSummit, cable car]
-
A.
typicalTransportBetweenPeaks
Indicates the usual or most common mode of transportation used to travel between two peaks.
-
B.
summitAccessibleFrom
Indicates that a summit can be reached or accessed starting from a specified location or route.
-
C.
transportModeTo
chosen
Indicates the means or mode of transportation used to travel to a specified destination.
-
D.
distanceToSummit
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
-
E.
hasSummitTrail
Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2abc430819080c1303eded5f416 |
completed | April 18, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69e319d0fdb8819088425bd82431640f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.