Triple
T1834077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zumwalt Meadow |
E41023
|
entity |
| Predicate | hikingDistance |
P30396
|
FINISHED |
| Object | short loop (approximately 1.5–2 miles) |
—
|
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: short loop (approximately 1.5–2 miles) | Statement: [Zumwalt Meadow, hikingDistance, short loop (approximately 1.5–2 miles)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hikingDistance Context triple: [Zumwalt Meadow, hikingDistance, short loop (approximately 1.5–2 miles)]
-
A.
hikeLength
chosen
Indicates the distance or duration associated with a hiking activity or trail.
-
B.
approximateHikeTimeRoundTrip
Indicates the estimated total time required to complete a hike from the starting point to the destination and back to the start.
-
C.
longDistanceTrail
Indicates that a trail or route spans a considerable distance, typically intended for extended or multi-day travel.
-
D.
distanceToAlps
Indicates the spatial distance between a given location or entity and the Alps.
-
E.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.