Triple
T26425754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room Essentials |
E664365
|
entity |
| Predicate | typicalRetailEnvironment |
P97819
|
FINISHED |
| Object | big-box 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: big-box store | Statement: [Room Essentials, typicalRetailEnvironment, big-box store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRetailEnvironment Context triple: [Room Essentials, typicalRetailEnvironment, big-box store]
-
A.
typicalStorePlacement
Indicates the usual or standard physical location where an item is placed or displayed within a store.
-
B.
retailConcept
Indicates that one entity represents a retail-related concept, model, or framework that characterizes or defines the nature of another entity’s retail activity or context.
-
C.
hasRetailCharacteristic
Indicates that an entity possesses a specific attribute, feature, or quality relevant to retail contexts (such as pricing, packaging, or point-of-sale properties).
-
D.
typicalVenueSetting
chosen
Indicates the usual or characteristic type of venue or setting in which an event, activity, or interaction typically takes place.
-
E.
retailRole
Indicates a relationship where an entity holds a specific functional role or position within a retail context, such as selling, managing, or operating retail activities.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: April 26, 2026, 11:46 p.m.