Triple
T30053949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Entrance of Zion National Park |
E763675
|
entity |
| Predicate | isBusiestEntranceOf |
P168394
|
FINISHED |
| Object | Zion 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: Zion National Park | Statement: [South Entrance of Zion National Park, isBusiestEntranceOf, Zion National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBusiestEntranceOf Context triple: [South Entrance of Zion National Park, isBusiestEntranceOf, Zion National Park]
-
A.
isMostHeavilyTraveledCorridorIn
Indicates that a particular route or corridor experiences the highest volume of travel or traffic within a specified area or region.
-
B.
hasEntranceOn
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
-
C.
hasNumberOfEntrances
Indicates the relationship that specifies how many entrances an entity possesses.
-
D.
isBusiestStationIn
Indicates that a station has the highest level of activity (e.g., passenger or traffic volume) within a specified area or system.
-
E.
hasLandmarkAtEntrance
Indicates that a specific landmark is located at or directly adjacent to the entrance of something.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67a18676081908488b1e38d156284 |
completed | May 2, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 6:56 p.m.