Triple
T19396341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulmarg |
E485195
|
entity |
| Predicate | gondolaFeature |
P136298
|
FINISHED |
| Object | one of the highest operating cable cars in the world |
—
|
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: one of the highest operating cable cars in the world | Statement: [Gulmarg, gondolaFeature, one of the highest operating cable cars in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gondolaFeature Context triple: [Gulmarg, gondolaFeature, one of the highest operating cable cars in the world]
-
A.
gondolaType
Indicates the specific kind or category of gondola associated with an entity.
-
B.
gondolaUsedFor
Indicates that a gondola is employed or utilized for a particular purpose, function, or activity.
-
C.
hasGondola
Indicates that one entity possesses, includes, or is equipped with a gondola.
-
D.
hasEnclosedGondolas
Indicates that something (typically a ride or transport system) features gondolas that are fully enclosed rather than open.
-
E.
hasAirConditionedGondolas
Indicates that the gondolas in question are equipped with air conditioning.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e50213571881909cd7543a43b51986 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.