Triple
T2484208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Mountain Trail |
E55886
|
entity |
| Predicate | isLoopOrOutAndBack |
P36771
|
FINISHED |
| Object | lollipop loop options |
—
|
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: lollipop loop options | Statement: [Dog Mountain Trail, isLoopOrOutAndBack, lollipop loop options]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLoopOrOutAndBack Context triple: [Dog Mountain Trail, isLoopOrOutAndBack, lollipop loop options]
-
A.
isLoop
Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
-
B.
hasRecreationalRoute
Indicates that an entity is associated with or includes a route intended for recreational activities such as walking, cycling, or hiking.
-
C.
hasLoopDirectionOptions
chosen
Indicates that an entity provides or supports multiple possible directions in which a loop can operate or be executed.
-
D.
hasSwitchbacks
Indicates that a path, road, or trail includes sharp, back-and-forth turns (zigzags) used to navigate steep terrain.
-
E.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.