Triple
T18381002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edelweissspitze |
E446443
|
entity |
| Predicate | roadTypeToSummit |
P130913
|
FINISHED |
| Object | cobblestone road |
—
|
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: cobblestone road | Statement: [Edelweissspitze, roadTypeToSummit, cobblestone road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadTypeToSummit Context triple: [Edelweissspitze, roadTypeToSummit, cobblestone road]
-
A.
isMountainRoad
Indicates that a given road is classified as a mountain road, typically traversing or situated within mountainous terrain.
-
B.
highestRoadPassIn
Indicates that a location contains the highest-elevation road pass within a specified area or region.
-
C.
typicalSummitTarget
Indicates that something is a usual or characteristic objective or destination associated with reaching a summit.
-
D.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
E.
nearestSummit
Indicates that one summit is the closest in distance to a given reference point or location compared to all other summits.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179aa328819097f5ed8193cfa401 |
completed | April 19, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:45 a.m.