Triple
T32590941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Gate Falls |
E833061
|
entity |
| Predicate | approxDistanceFromClintonHut |
P197880
|
FINISHED |
| Object | about 1.5–2 hours walk |
—
|
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 1.5–2 hours walk | Statement: [Giant Gate Falls, approxDistanceFromClintonHut, about 1.5–2 hours walk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxDistanceFromClintonHut Context triple: [Giant Gate Falls, approxDistanceFromClintonHut, about 1.5–2 hours walk]
-
A.
nearestHut
Indicates that one hut is the closest in distance to a given reference point or entity compared to all other huts.
-
B.
approximateRoundTripDistanceFromTrailhead
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
-
C.
distanceFromMaranguGate
Indicates the spatial distance measured from the Marangu Gate to a given location or entity.
-
D.
distanceToSummit
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
-
E.
distanceToHughTown
Indicates the spatial distance between a given location and Hugh Town.
- 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
| PDg | Predicate description generation | batch_69feb5e50a7481908d6bff55bd85e06d |
completed | May 9, 2026, 4:19 a.m. |
Created at: May 1, 2026, 1:05 a.m.