Triple
T26161261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taum Sauk Mountain State Park |
E654116
|
entity |
| Predicate | connectedToTrailSystem |
P77360
|
FINISHED |
| Object | Ozark Trail |
—
|
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: Ozark Trail | Statement: [Taum Sauk Mountain State Park, connectedToTrailSystem, Ozark Trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToTrailSystem Context triple: [Taum Sauk Mountain State Park, connectedToTrailSystem, Ozark Trail]
-
A.
isPartOfTrailSystem
chosen
Indicates that something belongs to, or is included within, a larger trail network or trail system.
-
B.
TrailLinkIs
Indicates that one trail segment is connected to or continues from another trail segment.
-
C.
hasTrailConnection
Indicates that one location is connected to another by a traversable trail or path.
-
D.
hasRailTrail
Indicates that one location or entity possesses, includes, or is connected by a rail trail (a recreational trail converted from or running along a former or existing railway corridor) to another location or entity.
-
E.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 26, 2026, 8:30 p.m.