Triple
T2094075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Michigan Avenue |
E32738
|
entity |
| Predicate | hasShoppingDistrictType |
P35906
|
FINISHED |
| Object | upscale |
—
|
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: upscale | Statement: [North Michigan Avenue, hasShoppingDistrictType, upscale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShoppingDistrictType Context triple: [North Michigan Avenue, hasShoppingDistrictType, upscale]
-
A.
hasShoppingDistrict
Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
-
B.
hasShoppingMall
Indicates that one entity possesses, contains, or includes a shopping mall within its area or domain.
-
C.
hasBusinessDistrict
Indicates that a place or administrative area contains or includes a designated business district within its boundaries.
-
D.
hasShoppingMallName
Indicates that an entity (such as a shopping mall) is associated with or identified by a specific name.
-
E.
isInBusinessDistrict
Indicates that an entity is located within a designated business or commercial district area.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba98c32081908a243bc7088a1510 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abba2e65b48190bb19cfc4b0f8c462 |
completed | March 7, 2026, 5:39 a.m. |
Created at: March 4, 2026, 7:43 p.m.