Triple
T21236039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara Tarini Temple |
E523344
|
entity |
| Predicate | hasRopewayOperator |
P33423
|
FINISHED |
| Object | Tara Tarini hilltop ropeway service |
—
|
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: Tara Tarini hilltop ropeway service | Statement: [Tara Tarini Temple, hasRopewayOperator, Tara Tarini hilltop ropeway service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRopewayOperator Context triple: [Tara Tarini Temple, hasRopewayOperator, Tara Tarini hilltop ropeway service]
-
A.
cableCarOperator
chosen
Indicates that one entity operates, manages, or runs a cable car service for another entity or location.
-
B.
hasParkOperator
Indicates that a park is operated or managed by a specific organization or individual.
-
C.
hasTourOperator
Indicates that an entity is associated with or provided by a specific tour operator responsible for organizing or managing its tours.
-
D.
hasRailTransportOperator
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
E.
skiResortOperator
Indicates that an entity operates, manages, or runs a ski resort for another entity or location.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735202c7481909c642ddaafb40671 |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:46 p.m.