Triple
T11287046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Beult |
E267219
|
entity |
| Predicate | SSSILength |
P75639
|
FINISHED |
| Object | approximately 25 kilometres |
—
|
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 25 kilometres | Statement: [River Beult, SSSILength, approximately 25 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SSSILength Context triple: [River Beult, SSSILength, approximately 25 kilometres]
-
A.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical context.
-
B.
dimensionOfLength
chosen
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
C.
maximumSegmentLength
Indicates the greatest allowable or observed length of a segment within a given context or structure.
-
D.
lengthClass
Indicates a classification relationship where an entity is assigned to a category based on its length.
-
E.
identifierLength
Indicates the length or number of characters in an entity’s identifier.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e986b0f08190a414749eaa7f1a5d |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.