Triple
T1650735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matterhorn Bobsleds |
E35683
|
entity |
| Predicate | hasSingleRiderLine |
P30894
|
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: [Matterhorn Bobsleds, hasSingleRiderLine, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSingleRiderLine Context triple: [Matterhorn Bobsleds, hasSingleRiderLine, yes]
-
A.
lineServed
Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
-
B.
ridersPerRow
Indicates the number of riders assigned or allowed to sit in each row.
-
C.
hasShuttleLine
Indicates that there is a shuttle service or route operating between the related entities.
-
D.
hasSingle
Indicates that an entity possesses exactly one instance of a specified related entity or attribute.
-
E.
numberOfRidersPerVehicle
Indicates the quantity of riders associated with each individual vehicle in the relationship.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a949509d508190a3a35554996823de |
completed | March 5, 2026, 9:13 a.m. |
Created at: March 4, 2026, 7:29 p.m.