Triple
T14844513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerne Abbas Giant |
E349050
|
entity |
| Predicate | widthAcrossArms |
P93945
|
FINISHED |
| Object | about 51 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: about 51 metres | Statement: [Cerne Abbas Giant, widthAcrossArms, about 51 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widthAcrossArms Context triple: [Cerne Abbas Giant, widthAcrossArms, about 51 metres]
-
A.
armLength
chosen
Indicates that one entity’s arm has a specified length or that there is a measured distance corresponding to the length of an arm.
-
B.
forearmLength
Indicates the measured length of an entity’s forearm, typically from the elbow to the wrist.
-
C.
shoulderHeightRange
Indicates the range of vertical height measured from the ground to an entity’s shoulders.
-
D.
hasShoulderDiameter
Indicates the diameter measurement of an entity’s shoulder region or shoulder-related feature.
-
E.
sideArchWidth
Indicates the width measurement of a side arch in a structure or object.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:53 a.m.