Triple
T23971409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Avenue, Chicago |
E604242
|
entity |
| Predicate | hasRetailCorridorAt |
P30026
|
FINISHED |
| Object | North and Clybourn area |
—
|
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: North and Clybourn area | Statement: [North Avenue, Chicago, hasRetailCorridorAt, North and Clybourn area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRetailCorridorAt Context triple: [North Avenue, Chicago, hasRetailCorridorAt, North and Clybourn area]
-
A.
hasMajorRetailCorridor
chosen
Indicates that a place contains or is associated with a primary commercial street or area characterized by a high concentration of retail businesses.
-
B.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
-
C.
hasRetailArea
Indicates that an entity possesses or includes a designated space used for retail or commercial sales activities.
-
D.
hasCommercialCorridorAlong
Indicates that a place contains a continuous stretch of commercial activity or businesses situated along a specified linear feature, such as a street or route.
-
E.
hasRetailBoutiquesIn
Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1dc3f088190a55faf6f01ddf4bf |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.