Triple
T16679918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supai Post Office |
E405311
|
entity |
| Predicate | trailDistanceFromRim |
P97473
|
FINISHED |
| Object | approximately 8 miles from Hualapai Hilltop trailhead |
—
|
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: approximately 8 miles from Hualapai Hilltop trailhead | Statement: [Supai Post Office, trailDistanceFromRim, approximately 8 miles from Hualapai Hilltop trailhead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailDistanceFromRim Context triple: [Supai Post Office, trailDistanceFromRim, approximately 8 miles from Hualapai Hilltop trailhead]
-
A.
hasRoadAlongRim
Indicates that a road runs adjacent to and follows the contour of a rim or edge of a geographic feature.
-
B.
hasRimDiameter
Indicates that one entity has a rim whose diameter is measured by or corresponds to the value or object represented by the other entity.
-
C.
trackDiameter
Indicates the diameter measurement of a track, typically specifying the width across its circular or rounded layout.
-
D.
trailDistanceContext
chosen
Indicates the contextual distance or separation between entities along a trail, path, or route.
-
E.
wheelDiameter
Indicates the size of a wheel measured across its diameter.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6e74ec81909ea95c3e4b0113ab |
completed | April 18, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.