Triple
T3556945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sears Grand |
E75240
|
entity |
| Predicate | storeCategory |
P40799
|
FINISHED |
| Object | general merchandise store |
—
|
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: general merchandise store | Statement: [Sears Grand, storeCategory, general merchandise store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storeCategory Context triple: [Sears Grand, storeCategory, general merchandise store]
-
A.
storeType
chosen
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
B.
settingCategory
Indicates the classification or type of context in which something is set or configured (e.g., grouping settings under a common category).
-
C.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
D.
categoryIUsedFor
Indicates that one entity is used as a category or classification label for another entity.
-
E.
socialCategory
Indicates that an entity belongs to, or is classified within, a particular social group, class, or category.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc057cc788190a6c4f3781f43abce |
completed | March 8, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.