Triple
T33872122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G Street NW |
E868242
|
entity |
| Predicate | usesStreetNamingSystem |
P36245
|
FINISHED |
| Object | lettered streets of Washington, D.C. |
—
|
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: lettered streets of Washington, D.C. | Statement: [G Street NW, usesStreetNamingSystem, lettered streets of Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStreetNamingSystem Context triple: [G Street NW, usesStreetNamingSystem, lettered streets of Washington, D.C.]
-
A.
hasStreetNamingPattern
chosen
Indicates that there is a characteristic or systematic way in which streets are named in relation to a given entity.
-
B.
hasStreetNumberingSystem
Indicates that a location or area uses an organized system for assigning numbers to buildings or addresses along its streets.
-
C.
hasStreetNameLanguage
Indicates that the language in which a street name is expressed is specified.
-
D.
hasStreetNameOrigin
Indicates that the origin or source of a street’s name is specified or linked to a particular cause, person, event, or feature.
-
E.
hasStreetNumberingRole
Indicates that an entity serves a specific function or responsibility related to assigning, managing, or representing street numbers within an addressing system.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 1, 2026, 1:47 a.m.