Triple
T23211666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest street numbering system of Washington, D.C. |
E580608
|
entity |
| Predicate | blockLengthApproximation |
P59093
|
FINISHED |
| Object | 100 address numbers per block |
—
|
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: 100 address numbers per block | Statement: [Northwest street numbering system of Washington, D.C., blockLengthApproximation, 100 address numbers per block]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blockLengthApproximation Context triple: [Northwest street numbering system of Washington, D.C., blockLengthApproximation, 100 address numbers per block]
-
A.
approximateBlockLength
chosen
Indicates that one entity specifies or estimates the length of a block in an approximate or non-exact manner.
-
B.
objectApproximateLength
Indicates that one entity specifies or estimates the approximate length measurement of another entity.
-
C.
blockSize
Indicates the size or capacity of a discrete block unit within a larger structure or system.
-
D.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
-
E.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191620378819096362252c3b819b6 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:07 p.m.