Triple
T3556944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sears Grand |
E75240
|
entity |
| Predicate | storeLayout |
P27817
|
FINISHED |
| Object | open big-box layout |
—
|
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: open big-box layout | Statement: [Sears Grand, storeLayout, open big-box layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storeLayout Context triple: [Sears Grand, storeLayout, open big-box layout]
-
A.
stationLayout
Indicates the spatial arrangement and structural organization of elements within a station.
-
B.
hasAisles
chosen
Indicates that a location or structure contains one or more aisles as part of its internal layout or organization.
-
C.
storesConfigurationFor
Indicates that one entity holds or maintains configuration settings that are used by or apply to another entity.
-
D.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
E.
urbanLayout
Indicates how the spatial arrangement, organization, and structure of buildings, streets, and public spaces relate to one another within an urban area.
- 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.