Triple
T3932950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benton MacKaye |
E90836
|
entity |
| Predicate | visionForAppalachianTrail |
P52617
|
FINISHED |
| Object | network of camps and communities along the trail |
—
|
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: network of camps and communities along the trail | Statement: [Benton MacKaye, visionForAppalachianTrail, network of camps and communities along the trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visionForAppalachianTrail Context triple: [Benton MacKaye, visionForAppalachianTrail, network of camps and communities along the trail]
-
A.
roleInAppalachianTrail
Indicates a relationship where an entity holds a specific role, function, or responsibility in connection with the Appalachian Trail.
-
B.
trailblazerFor
Indicates that one entity serves as a pioneering example, opening the way or setting a precedent for another entity to follow or build upon.
-
C.
TrailLinkIs
Indicates that one trail segment is connected to or continues from another trail segment.
-
D.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
E.
longDistanceTrail
Indicates that a trail or route spans a considerable distance, typically intended for extended or multi-day travel.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedaaf3c881909539831bf3a8bf10 |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeed3260cc8190bf294bdab507b1f9 |
completed | March 9, 2026, 3:54 p.m. |
Created at: March 9, 2026, 3:23 p.m.