Triple
T5555473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horseshoe Bend |
E145627
|
entity |
| Predicate | distanceFromUS89 |
P64450
|
FINISHED |
| Object | about 1.5 miles from U.S. Route 89 parking area |
—
|
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: about 1.5 miles from U.S. Route 89 parking area | Statement: [Horseshoe Bend, distanceFromUS89, about 1.5 miles from U.S. Route 89 parking area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromUS89 Context triple: [Horseshoe Bend, distanceFromUS89, about 1.5 miles from U.S. Route 89 parking area]
-
A.
distanceFromDesMoines
Indicates the physical distance between a given location and the city of Des Moines.
-
B.
distanceToWinnemucca
Indicates the spatial distance between a given entity’s location and the location of Winnemucca.
-
C.
isNearestI95BorderCrossingTo
Indicates that one location is the closest border crossing point to Interstate 95 relative to another specified reference location.
-
D.
distanceFromHanaTown (miles)
Indicates the number of miles separating a given place or entity from Hana Town.
-
E.
approximateDistanceFromHighway1
Indicates the estimated distance between a location and Highway 1, rather than an exact measured value.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffc5e7c81908e1c454d3bfd357b |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:36 p.m.