Triple
T35586843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RiverTown Crossings |
E1028379
|
entity |
| Predicate | isMajorMallIn |
P57380
|
FINISHED |
| Object | Grand Rapids metropolitan 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: Grand Rapids metropolitan area | Statement: [RiverTown Crossings, isMajorMallIn, Grand Rapids metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorMallIn Context triple: [RiverTown Crossings, isMajorMallIn, Grand Rapids metropolitan area]
-
A.
isIndoorMall
Indicates that a shopping mall is located indoors, typically enclosed within a single building or connected interior space.
-
B.
isOneOfLargestMallsIn
chosen
Indicates that a mall ranks among the largest shopping centers located within a specified area or region.
-
C.
isOutdoorMall
Indicates that a shopping area is an open-air mall, where stores are arranged outdoors rather than within an enclosed building.
-
D.
shoppingCenterInstanceOf
Indicates that a specific shopping center is an instance of a particular type or class of shopping centers.
-
E.
isOneOfLargestOutletMallsIn
Indicates that an outlet mall ranks among the largest within a specified geographic area 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:04 p.m.