Triple
T6277537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snetterton Circuit |
E140698
|
entity |
| Predicate | layoutLength |
P266
|
FINISHED |
| Object | 3.0 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: 3.0 miles | Statement: [Snetterton Circuit, layoutLength, 3.0 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: layoutLength Context triple: [Snetterton Circuit, layoutLength, 3.0 miles]
-
A.
layoutOptions
Indicates how elements are arranged or positioned relative to each other within a given space or structure.
-
B.
formLength
Indicates the length or extent of a form, typically measured in units such as characters, fields, or physical dimensions.
-
C.
length
chosen
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
properLengthMeasuredIn
Indicates that the proper (intrinsic or rest-frame) length of an entity is expressed using a specified unit of measurement.
-
E.
widthInColumns
Indicates the number of column units that an element or item spans within a grid or layout.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063daec108190859d1d5dbafd5b42 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.