Triple
T23206879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington, D.C. street grid |
E580482
|
entity |
| Predicate | streetLetteringSystem |
P151348
|
FINISHED |
| Object | east–west streets are lettered |
—
|
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: east–west streets are lettered | Statement: [Washington, D.C. street grid, streetLetteringSystem, east–west streets are lettered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetLetteringSystem Context triple: [Washington, D.C. street grid, streetLetteringSystem, east–west streets are lettered]
-
A.
streetLetteringPattern
Indicates the recurring style or arrangement of letters or text used on or along a street (e.g., on signs, markings, or plaques).
-
B.
hasLetterforms
Indicates a relationship where one entity possesses or includes specific letterforms as part of its written or typographic representation.
-
C.
hasSignageLetter
Indicates that an object or location bears signage containing a specific letter or set of letters.
-
D.
inscriptionLayout
Indicates how an inscription is spatially arranged or formatted in relation to the surface or object it appears on.
-
E.
writingSystem
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
- F. None of above. chosen
Provenance (4 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_69f1907d8be08190a100d99efaff9964 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:07 p.m.