Triple
T30166988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason Street, San Francisco |
E766821
|
entity |
| Predicate | hasCableCarLineNearby |
P195188
|
FINISHED |
| Object | Powell–Mason line |
—
|
NE NERFINISHED |
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: Powell–Mason line | Statement: [Mason Street, San Francisco, hasCableCarLineNearby, Powell–Mason line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCableCarLineNearby Context triple: [Mason Street, San Francisco, hasCableCarLineNearby, Powell–Mason line]
-
A.
hasCableCar
Indicates that one entity possesses, operates, or is served by a cable car system connecting it to other locations or points.
-
B.
hasMountainRailwayConnectionTo
Indicates that there is a railway line specifically adapted for mountainous terrain that connects one location to another.
-
C.
hasScenicPassNearby
Indicates that a location is situated close to a notable scenic pass, such as a mountain or landscape viewpoint route.
-
D.
hasSkiLiftConnectionTo
Indicates a relationship where one location is directly connected to another by a ski lift, allowing travel between them via that lift.
-
E.
hasScenicSectionNear
Indicates that one location includes a visually appealing or picturesque segment situated close to another specified location.
- 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_69f2247a968881909d79c18f2bfcb275 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69fdb04d37288190969a0f39d92efb49 |
completed | May 8, 2026, 9:43 a.m. |
Created at: April 29, 2026, 7:23 p.m.