Triple
T34128179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluemont Junction Trail |
E875348
|
entity |
| Predicate | railTrailFrom |
P2515
|
FINISHED |
| Object | former Washington & Old Dominion Railroad |
—
|
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: former Washington & Old Dominion Railroad | Statement: [Bluemont Junction Trail, railTrailFrom, former Washington & Old Dominion Railroad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railTrailFrom Context triple: [Bluemont Junction Trail, railTrailFrom, former Washington & Old Dominion Railroad]
-
A.
hikingTrailFrom
Indicates a relationship where a hiking trail originates at or departs from a specified location.
-
B.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
C.
isRailTrail
Indicates that a path or route is a rail trail, meaning it follows or repurposes a former or existing railway corridor for recreational or transportation use.
-
D.
trailAccess
Indicates that one entity provides permission or a route for another entity to enter, use, or traverse a specific trail or pathway.
-
E.
hasRailTrail
chosen
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.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:53 a.m.