Triple
T8744379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Narrows hike |
E207786
|
entity |
| Predicate | topDownDistance |
P85147
|
FINISHED |
| Object | approximately 16 miles one way |
—
|
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 16 miles one way | Statement: [The Narrows hike, topDownDistance, approximately 16 miles one way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topDownDistance Context triple: [The Narrows hike, topDownDistance, approximately 16 miles one way]
-
A.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
B.
heightAboveGround
Indicates the vertical distance of an entity measured from the ground surface directly beneath it.
-
C.
distanceToTerminal
Indicates the measured or calculated distance from a given entity or location to a specified terminal point or facility.
-
D.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
-
E.
depthMetresApprox
Indicates an approximate measurement of how deep something is in metres, rather than an exact 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d72e47c819099540d062d35ebd5 |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:38 p.m.