Triple
T30046975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Narragansett Avenue |
E763481
|
entity |
| Predicate | hasStreetAddressRange |
P24400
|
FINISHED |
| Object | Chicago street grid |
—
|
NE NERFINISHED |
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: Chicago street grid | Statement: [North Narragansett Avenue, hasStreetAddressRange, Chicago street grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetAddressRange Context triple: [North Narragansett Avenue, hasStreetAddressRange, Chicago street grid]
-
A.
streetAddressRange
chosen
Indicates the span of street address numbers (e.g., from a minimum to a maximum) that are associated with a particular street segment or location.
-
B.
roadNumberRange
Indicates that a road is identified by a continuous range of road numbers between a specified minimum and maximum.
-
C.
postalCodeRange
Indicates that one entity specifies a contiguous range of postal codes applicable to another entity or context.
-
D.
hasFictionalHouseNumberRange
Indicates that an entity is associated with a range of house numbers that are fictional or not used in real-world addressing.
-
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_69f22470a89c8190be7273297c0e0d19 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: April 29, 2026, 6:54 p.m.