Triple
T31724464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stansbury Mountains |
E809672
|
entity |
| Predicate | rangeLengthApprox |
P172894
|
FINISHED |
| Object | about 28 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: about 28 miles | Statement: [Stansbury Mountains, rangeLengthApprox, about 28 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeLengthApprox Context triple: [Stansbury Mountains, rangeLengthApprox, about 28 miles]
-
A.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
-
B.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
-
C.
latitudeRangeApproximate
Indicates that the latitude of an entity falls within an approximate or loosely bounded range, rather than an exact or strictly defined interval.
-
D.
approximateRadius
Indicates that one entity specifies or provides an estimated value for the radius of another entity.
-
E.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
- 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 30, 2026, 11:19 p.m.