Triple
T19972620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacramento street grid |
E480115
|
entity |
| Predicate | streetNumberingPattern |
P49387
|
FINISHED |
| Object | ascending numbers from west to east |
—
|
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: ascending numbers from west to east | Statement: [Sacramento street grid, streetNumberingPattern, ascending numbers from west to east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetNumberingPattern Context triple: [Sacramento street grid, streetNumberingPattern, ascending numbers from west to east]
-
A.
hasStreetNamingPattern
Indicates that there is a characteristic or systematic way in which streets are named in relation to a given entity.
-
B.
hasStreetNumberingSystem
chosen
Indicates that a location or area uses an organized system for assigning numbers to buildings or addresses along its streets.
-
C.
isNumberedStreet
Indicates that a street is designated primarily by a number (e.g., "1st Street," "42nd Avenue") rather than by a proper name.
-
D.
roadNumberPrefix
Indicates that one entity is a prefix portion of the road number or designation used by the other entity.
-
E.
boroughNumber
Indicates the numerical identifier assigned to a specific borough within a larger administrative or municipal division.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bca94c0819095c902a411c4c4b8 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.