Triple
T23436580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predigtstuhlbahn cable car |
E563478
|
entity |
| Predicate | originalEquipmentPreserved |
P152269
|
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: [Predigtstuhlbahn cable car, originalEquipmentPreserved, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalEquipmentPreserved Context triple: [Predigtstuhlbahn cable car, originalEquipmentPreserved, yes]
-
A.
originalEquipment
Indicates that something is the factory-installed or manufacturer-supplied component associated with another item, rather than an aftermarket or replacement part.
-
B.
originallyBuilt
Indicates that one entity was the first or initial builder or constructor of another entity.
-
C.
originallyBuiltUnder
Indicates that something was first constructed during the rule, authority, or administration of a particular person, group, or regime.
-
D.
originalEngineModel
Indicates that one engine is the original or initial model from which another engine or engine variant is derived.
-
E.
hasOriginalsBrand
Indicates that one entity is associated with, or belongs to, the Originals brand of another entity.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dcd4608190a543cc747e0daab8 |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:50 p.m.