Triple
T28631273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jungfrau Railway |
E724644
|
entity |
| Predicate | highestStation |
P72892
|
FINISHED |
| Object | Jungfraujoch railway station |
—
|
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: Jungfraujoch railway station | Statement: [Jungfrau Railway, highestStation, Jungfraujoch railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestStation Context triple: [Jungfrau Railway, highestStation, Jungfraujoch railway station]
-
A.
upperStationElevation
Indicates the elevation or height above a reference level (e.g., sea level) of the upper station in a system or structure.
-
B.
upperStation
chosen
Indicates that one station is positioned higher or upstream in a system or hierarchy relative to another station.
-
C.
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.
-
D.
deepestStation
Indicates that one station in a network or system is located at a greater depth (e.g., below ground or sea level) than all other stations.
-
E.
oneOfBusiestStationsIn
Indicates that a station is among the busiest stations within a specified area or system.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 28, 2026, 4:37 a.m.