Triple
T7008008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annadel State Park |
E162506
|
entity |
| Predicate | hasTrailUsePolicy |
P68232
|
FINISHED |
| Object | shared by hikers and mountain bikers |
—
|
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: shared by hikers and mountain bikers | Statement: [Annadel State Park, hasTrailUsePolicy, shared by hikers and mountain bikers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailUsePolicy Context triple: [Annadel State Park, hasTrailUsePolicy, shared by hikers and mountain bikers]
-
A.
trailUsePolicy
chosen
Indicates the rules or guidelines governing how a trail may be accessed and used.
-
B.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
C.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
D.
hasTrailNetwork
Indicates that an entity possesses or is associated with a system of interconnected trails or paths.
-
E.
isTrailerable
Indicates that something can be transported or carried using a trailer.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc36e3fc8190957445132a9ffb5f |
completed | March 27, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.