Triple
T17835540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalkaska, Michigan |
E445372
|
entity |
| Predicate | hasLocalAttractionType |
P8648
|
FINISHED |
| Object | outdoor recreation areas |
—
|
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: outdoor recreation areas | Statement: [Kalkaska, Michigan, hasLocalAttractionType, outdoor recreation areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalAttractionType Context triple: [Kalkaska, Michigan, hasLocalAttractionType, outdoor recreation areas]
-
A.
hasAttractionType
chosen
Indicates that one entity is associated with a specific kind or category of attraction (e.g., tourist, cultural, natural).
-
B.
hasPrimaryAttractionType
Indicates that an entity is characterized by a main or dominant type of attraction or appeal it offers.
-
C.
hasAttractionBasedOn
Indicates that one entity feels an attraction toward another entity that is specifically grounded in a particular basis, criterion, or set of characteristics.
-
D.
containsAttraction
Indicates that one entity includes or encompasses an attraction (such as a point of interest, feature, or draw) within its bounds or scope.
-
E.
hasAttractionNearby
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d271e4481909664897cb789fe4a |
completed | April 19, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:16 a.m.