Triple
T35839174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Salève |
E1036025
|
entity |
| Predicate | cableCarLowerStationLocation |
P184180
|
FINISHED |
| Object | Étrembières |
—
|
NE NERFINISHED |
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: Étrembières | Statement: [Mont Salève, cableCarLowerStationLocation, Étrembières]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cableCarLowerStationLocation Context triple: [Mont Salève, cableCarLowerStationLocation, Étrembières]
-
A.
funicularLowerStationLocatedIn
Indicates that the lower (downhill) station of a funicular railway is located within a specified place or area.
-
B.
cableCarStations
Indicates that there is a cable car connection or service operating between the referenced stations.
-
C.
hasLowerStationAt
Indicates that one entity has a subordinate or lower-ranked position relative to another entity within a hierarchical structure.
-
D.
hasLowerStation
Indicates that one entity occupies a lower rank, status, or position in a hierarchy relative to another entity.
-
E.
upperStationLocatedOn
Indicates that one station in a pair (the upper station) is situated at the higher or top position along a route, line, or system relative to another station.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.