Triple
T37929506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Lakes Trailhead |
E946174
|
entity |
| Predicate | accessesAreaKnownFor |
P189947
|
FINISHED |
| Object | scenic lakes |
—
|
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: scenic lakes | Statement: [Green Lakes Trailhead, accessesAreaKnownFor, scenic lakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessesAreaKnownFor Context triple: [Green Lakes Trailhead, accessesAreaKnownFor, scenic lakes]
-
A.
connectsToAreaKnownFor
Indicates that something has a direct link or association to a specific area that is recognized or notable for certain characteristics or features.
-
B.
accessArea
Indicates that an entity is permitted to enter, use, or interact with a specified physical or logical area.
-
C.
accessesRegion
Indicates that one entity reaches, uses, or interacts with a specific geographic or logical region.
-
D.
hasProtectedAreaAccess
Indicates that an entity is permitted to enter, use, or otherwise access a designated protected area under defined conditions.
-
E.
accessesNeighborhood
Indicates that one entity has the ability or permission to enter, reach, or make use of a particular neighborhood.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:20 p.m.