Triple
T3565336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Market Street and Castro Street |
E75433
|
entity |
| Predicate | streetType_CastroStreet |
P50400
|
FINISHED |
| Object | neighborhood commercial street |
—
|
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: neighborhood commercial street | Statement: [Market Street and Castro Street, streetType_CastroStreet, neighborhood commercial street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetType_CastroStreet Context triple: [Market Street and Castro Street, streetType_CastroStreet, neighborhood commercial street]
-
A.
avenueRadiatingFrom
Indicates that one avenue extends outward from and is oriented away from another central point or thoroughfare, like a spoke radiating from a hub.
-
B.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
C.
roadName
Indicates the specific name assigned to a road that identifies it within a transportation or address system.
-
D.
isNumberedStreet
Indicates that a street is designated primarily by a number (e.g., "1st Street," "42nd Avenue") rather than by a proper name.
-
E.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a8f6288190928479f5bea32245 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb9bbb62c8190989629ca11733e1b |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 8, 2026, 3:21 p.m.