Triple
T6117094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Davis Trail |
E136384
|
entity |
| Predicate | trailUsePolicy |
P68232
|
FINISHED |
| Object | day-use only |
—
|
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: day-use only | Statement: [Matt Davis Trail, trailUsePolicy, day-use only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailUsePolicy Context triple: [Matt Davis Trail, trailUsePolicy, day-use only]
-
A.
locationPolicy
Indicates a rule or constraint governing where an entity is allowed, required, or restricted to be located.
-
B.
boardingPolicy
Indicates the rules or procedures governing how and in what order passengers are allowed to board a vehicle or vessel.
-
C.
eraPolicy
Indicates that a specific policy was in effect during a particular historical or temporal era.
-
D.
walkInPolicy
Indicates that an entity allows or operates under a policy where individuals can arrive and be served without a prior appointment.
-
E.
laterPolicy
Indicates that one policy occurs or becomes effective after another policy in time.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05beb4cfc8190ab67a5338ec59cea |
completed | March 22, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:14 p.m.