Triple
T12506198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura Foot Railway |
E298953
|
entity |
| Predicate | hasDoubleTrackSections |
P100755
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Jura Foot Railway, hasDoubleTrackSections, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDoubleTrackSections Context triple: [Jura Foot Railway, hasDoubleTrackSections, yes]
-
A.
hasTrackLanes
Indicates that an entity (such as a road or track) includes one or more designated lanes for vehicle or train movement.
-
B.
hasTwoTracks
chosen
Indicates that the subject possesses or is associated with exactly two distinct tracks or pathways.
-
C.
hasTrackSection
Indicates that an entity includes, is composed of, or is associated with a specific section or segment of a track.
-
D.
hasTwoLaneSegmentsIn
Indicates that an entity contains or is composed of exactly two distinct lane segments within a specified context or area.
-
E.
hasDoublePoleAt
Indicates that a function or expression has a pole of order two (a second-order singularity) at a specified point.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfddf38819099263b8b1e804736 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d43b7008190af2648fe09fd6d23 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:57 p.m.