Triple
T25202489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Unit |
E631157
|
entity |
| Predicate | isMostVisitedSectionOf |
P133107
|
FINISHED |
| Object | Theodore Roosevelt National Park |
—
|
NE NERFINISHED |
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: Theodore Roosevelt National Park | Statement: [South Unit, isMostVisitedSectionOf, Theodore Roosevelt National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostVisitedSectionOf Context triple: [South Unit, isMostVisitedSectionOf, Theodore Roosevelt National Park]
-
A.
mostVisitedPartOf
chosen
Indicates that one entity is the part or region of another entity that receives the highest number of visits or traffic compared to its other parts.
-
B.
isMostFrequentlyVisitedRegionOf
Indicates that a region is the one visited most often by a particular entity compared to all other regions.
-
C.
frequentlyVisitedBy
Indicates that an entity is regularly or often visited by another entity.
-
D.
bestVisitedBy
Indicates that an entity is most suitably or optimally accessed, experienced, or reached by using a particular mode, route, or means of visiting.
-
E.
isMostPopularRouteOn
Indicates that a particular route is the most frequently chosen or favored option on a given transportation line, network, or service.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f474b904f48190be6513788f89c6a9 |
completed | May 1, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:51 p.m.