Triple
T28294736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanton Drew stone circles |
E713529
|
entity |
| Predicate | GreatCircleDiameter |
P164238
|
FINISHED |
| Object | approximately 113 metres |
—
|
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: approximately 113 metres | Statement: [Stanton Drew stone circles, GreatCircleDiameter, approximately 113 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GreatCircleDiameter Context triple: [Stanton Drew stone circles, GreatCircleDiameter, approximately 113 metres]
-
A.
hasEquatorialCircumference
Indicates that one entity has a specified measurement for its circumference at the equator.
-
B.
radius_Earth
Indicates the measurement of the distance from the center of the Earth to its surface.
-
C.
distanceBetweenParallels
Indicates the perpendicular distance separating two parallel lines or planes.
-
D.
worldCircumnavigationDistance
Indicates the total distance covered when traveling all the way around the world along a specified route or path.
-
E.
hasEquatorialDiameter_km
Indicates the measurement, in kilometers, of an object's diameter across its equator.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6448643f48190b5d292584036de6e |
completed | May 2, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:31 p.m.