Triple
T28294737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanton Drew stone circles |
E713529
|
entity |
| Predicate | GreatCircleStoneCount |
P19192
|
FINISHED |
| Object | originally about 30 stones |
—
|
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: originally about 30 stones | Statement: [Stanton Drew stone circles, GreatCircleStoneCount, originally about 30 stones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GreatCircleStoneCount Context triple: [Stanton Drew stone circles, GreatCircleStoneCount, originally about 30 stones]
-
A.
formsGreatCircleWith
Indicates that two paths or segments together lie on the same great circle, forming a continuous great-circle route on a sphere.
-
B.
GreatCircleDiameter
Indicates the diameter of the great circle that passes through or is defined by the related geographic points on a sphere.
-
C.
hasApproximateNumberOfCairns
Indicates an estimated or non-exact count of cairns associated with a given entity.
-
D.
numberOfStones
chosen
Indicates the quantitative count of stones associated with a given entity or context.
-
E.
numberOfMajorStones
Indicates the quantity of major stones associated with or involved in a given entity or context.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 11:31 p.m.