Triple
T23211658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest street numbering system of Washington, D.C. |
E580608
|
entity |
| Predicate | eastWestStreetsNamingPattern |
P36245
|
FINISHED |
| Object | alphabetical letters |
—
|
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: alphabetical letters | Statement: [Northwest street numbering system of Washington, D.C., eastWestStreetsNamingPattern, alphabetical letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eastWestStreetsNamingPattern Context triple: [Northwest street numbering system of Washington, D.C., eastWestStreetsNamingPattern, alphabetical letters]
-
A.
hasStreetNamingPattern
chosen
Indicates that there is a characteristic or systematic way in which streets are named in relation to a given entity.
-
B.
streetPatternNamedFor
Indicates that a street pattern or layout is named in honor of, or derived from, a particular entity.
-
C.
eastWestRoutes
Indicates routes or connections that run in an east–west direction between locations.
-
D.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
-
E.
isNumberedStreet
Indicates that a street is designated primarily by a number (e.g., "1st Street," "42nd Avenue") rather than by a proper name.
- 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.