Triple
T8275748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colter Bay Visitor Center |
E193541
|
entity |
| Predicate | hasMapAvailability |
P58705
|
FINISHED |
| Object | Grand Teton National Park maps |
—
|
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: Grand Teton National Park maps | Statement: [Colter Bay Visitor Center, hasMapAvailability, Grand Teton National Park maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMapAvailability Context triple: [Colter Bay Visitor Center, hasMapAvailability, Grand Teton National Park maps]
-
A.
hasMapType
Indicates that one entity is associated with a specific type or category of map.
-
B.
hasMapReference
Indicates that an entity is associated with a specific map or map location reference.
-
C.
hasMapBy
Indicates that one entity is represented, depicted, or detailed by a specific map associated with it.
-
D.
hasMapRoom
Indicates that an entity includes or provides access to a dedicated room or space used for displaying or working with maps.
-
E.
mapAvailability
chosen
Indicates that a map is accessible or provided for use in a given context or location.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798d69508190b581ad8a38730175 |
completed | March 31, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:51 p.m.