Triple
T9633235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanikai Pillbox Trail |
E232856
|
entity |
| Predicate | approximateElevationGain |
P55645
|
FINISHED |
| Object | about 500 feet |
—
|
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 500 feet | Statement: [Lanikai Pillbox Trail, approximateElevationGain, about 500 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateElevationGain Context triple: [Lanikai Pillbox Trail, approximateElevationGain, about 500 feet]
-
A.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
B.
approximateElevationGainFromParadise
Indicates the estimated amount of elevation gained when traveling from the location named Paradise to another specified point or along a specified route.
-
C.
hasApproxElevationFeet
chosen
Indicates that an entity is associated with an elevation value measured in feet that is approximate rather than exact.
-
D.
elevationFeetApproximate
Indicates the approximate elevation of an entity above sea level, measured in feet.
-
E.
approximateHikeTimeRoundTrip
Indicates the estimated total time required to complete a hike from the starting point to the destination and back to the start.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b28ce2c819086d3c6e4e6ea95a7 |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.