Triple
T24769202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sliding Rock |
E619672
|
entity |
| Predicate | approximateSlideLength |
P158724
|
FINISHED |
| Object | 60 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: 60 feet | Statement: [Sliding Rock, approximateSlideLength, 60 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateSlideLength Context triple: [Sliding Rock, approximateSlideLength, 60 feet]
-
A.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
-
B.
approximateCourseLength
Indicates an estimated or rough value for the length or duration of a course rather than an exact measurement.
-
C.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
D.
approximateSideLengthOrderOfMagnitude
Indicates that one entity’s side length is approximately the same order of magnitude as another entity’s side length, differing by no more than about a factor of ten.
-
E.
numberOfSlides
Indicates the total count of slides associated with or contained within a given entity or presentation.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 18, 2026, 4:29 a.m.