Triple
T2383054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arches National Park |
E46354
|
entity |
| Predicate | annualVisitation |
P38405
|
FINISHED |
| Object | over 1 million visitors per year |
—
|
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: over 1 million visitors per year | Statement: [Arches National Park, annualVisitation, over 1 million visitors per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualVisitation Context triple: [Arches National Park, annualVisitation, over 1 million visitors per year]
-
A.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
B.
isAnnual
Indicates that something occurs, is scheduled, or is valid once every year.
-
C.
canVisit
Indicates that one entity is permitted or able to go to or access another entity or location.
-
D.
annualFrom
Indicates that something recurs or is calculated on a yearly basis starting from a specified point in time.
-
E.
hasVisitation
Indicates that one entity visits, or is allowed or scheduled to visit, another entity or location.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7bafa248190a68e8f1e081f4817 |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6f4245881909282b3184a288e2a |
completed | March 7, 2026, 6:34 a.m. |
Created at: March 4, 2026, 7:57 p.m.