Triple
T35108778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedetown, Michigan |
E1013226
|
entity |
| Predicate | hasTrailDifficultyRange |
P24163
|
FINISHED |
| Object | beginner to advanced |
—
|
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: beginner to advanced | Statement: [Swedetown, Michigan, hasTrailDifficultyRange, beginner to advanced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailDifficultyRange Context triple: [Swedetown, Michigan, hasTrailDifficultyRange, beginner to advanced]
-
A.
hasTrailDifficulty
chosen
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
B.
hasApproximateTrailDifficulty
Indicates that one entity is associated with another entity representing an estimated or non-exact level of trail difficulty.
-
C.
reachableFromTrailhead
Indicates that a location or segment can be accessed by traveling from a designated trailhead.
-
D.
hasBeginnerTerrain
Indicates that something provides or includes terrain or areas suitable for beginners.
-
E.
hasRecreationDifficulty
Indicates the level of challenge or effort required to engage in a particular recreational activity or experience.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: May 3, 2026, 4:01 p.m.