Triple
T36770830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Mall |
E908468
|
entity |
| Predicate | isLargestShoppingMallIn |
P57380
|
FINISHED |
| Object | Maine |
—
|
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: Maine | Statement: [Maine Mall, isLargestShoppingMallIn, Maine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestShoppingMallIn Context triple: [Maine Mall, isLargestShoppingMallIn, Maine]
-
A.
isOneOfLargestMallsIn
chosen
Indicates that a mall ranks among the largest shopping centers located within a specified area or region.
-
B.
isOneOfLargestOutletMallsIn
Indicates that an outlet mall ranks among the largest within a specified geographic area or region.
-
C.
isLargestShopOn
Indicates that a shop is the largest (by a specified measure, such as area, sales, or inventory) among all shops located on a particular street or area.
-
D.
isIndoorMall
Indicates that a shopping mall is located indoors, typically enclosed within a single building or connected interior space.
-
E.
isLargestMarketplaceIn
Indicates that a marketplace is the biggest in size or volume compared to all other marketplaces within a specified region or context.
- 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_69f76e786ba481909cdcf6cf6b39dd32 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.