Triple
T21107346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galleria at Crystal Run |
E520080
|
entity |
| Predicate | mallType |
P142878
|
FINISHED |
| Object | regional mall |
—
|
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: regional mall | Statement: [Galleria at Crystal Run, mallType, regional mall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mallType Context triple: [Galleria at Crystal Run, mallType, regional mall]
-
A.
merchantType
Indicates the category or classification of a merchant based on the type of goods or services they provide or the business model they operate under.
-
B.
homeMarket
Indicates the primary geographic or economic market in which an entity is based or predominantly operates.
-
C.
isOutdoorMall
Indicates that a shopping area is an open-air mall, where stores are arranged outdoors rather than within an enclosed building.
-
D.
mediumCategory
Indicates the classification of an item or content according to the type or form of medium it belongs to (e.g., print, digital, audio, video).
-
E.
commercialArea
Indicates that the location or region is designated primarily for commercial activities such as businesses, shops, or services.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e720fe800c81909edf215c5f1f27c2 |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:53 p.m.