Triple
T20665875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M Street SE |
E507883
|
entity |
| Predicate | quadrantDesignation |
P20373
|
FINISHED |
| Object | SE |
—
|
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: SE | Statement: [M Street SE, quadrantDesignation, SE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quadrantDesignation Context triple: [M Street SE, quadrantDesignation, SE]
-
A.
quadrant
chosen
Indicates the specific quarter or sector of a larger two-dimensional space or area in which an entity is located or classified.
-
B.
hasQuadrants
Indicates that something is divided into four distinct sections or regions, typically arranged as quadrants.
-
C.
cityQuarterNumber
Indicates the specific numbered quarter or district within a city to which an entity belongs or is associated.
-
D.
quadrantDefinitionDependsOn
Indicates that the definition or characterization of one quadrant is determined by, or relies upon, another specified element or set of elements.
-
E.
quadrangleNumber
Indicates that the subject is associated with a specific quadrangle identifier or index within a partitioned spatial or structural 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c2c6d48190bbfe505cf7d973f9 |
completed | April 20, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.