Triple
T27680392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Entrance of Yellowstone National Park |
E697891
|
entity |
| Predicate | closestParkArea |
P62844
|
FINISHED |
| Object | Madison Junction area of Yellowstone |
—
|
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: Madison Junction area of Yellowstone | Statement: [West Entrance of Yellowstone National Park, closestParkArea, Madison Junction area of Yellowstone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestParkArea Context triple: [West Entrance of Yellowstone National Park, closestParkArea, Madison Junction area of Yellowstone]
-
A.
largestNearbyPark
Indicates that one entity is the park which is both near another entity and is the largest among all such nearby parks.
-
B.
nearRetailPark
Indicates that one entity is located close to or in the immediate vicinity of a retail park.
-
C.
isNeighborhoodParkOf
Indicates that a park is located within and serves as a local recreational area for a specific neighborhood.
-
D.
nearestArea
chosen
Indicates that one area is the closest in distance to a given reference point or region compared to all other candidate areas.
-
E.
areaOfPark
Indicates the size or extent of a park measured in units of area.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 2:46 p.m.