Triple
T1030505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macedonia Brook State Park |
E22238
|
entity |
| Predicate | hasHikingTrails |
P17835
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Macedonia Brook State Park, hasHikingTrails, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHikingTrails Context triple: [Macedonia Brook State Park, hasHikingTrails, yes]
-
A.
hasHikingTrailToTop
Indicates that there exists a hiking trail leading from a starting location to the top or summit of a specified destination.
-
B.
hasRecreationalRoute
chosen
Indicates that an entity is associated with or includes a route intended for recreational activities such as walking, cycling, or hiking.
-
C.
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.
-
D.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
E.
hasMountainScenery
Indicates that a place or area features views or landscapes dominated by mountains.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.