Triple
T35570592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Work Bench |
E1027921
|
entity |
| Predicate | basedOnStoreArchetype |
P40799
|
FINISHED |
| Object | big-box electronics chain |
—
|
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 electronics chain | Statement: [Work Bench, basedOnStoreArchetype, big-box electronics chain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnStoreArchetype Context triple: [Work Bench, basedOnStoreArchetype, big-box electronics chain]
-
A.
basedOnType
Indicates that one entity is derived, determined, or classified according to the type or category of another entity.
-
B.
storeType
chosen
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
C.
isMajorStoreIn
Indicates that a store has a significant or primary presence or operation within a specified location or area.
-
D.
basedOnProduct
Indicates that something is derived from, influenced by, or created using a particular product as its source or foundation.
-
E.
storesConfigurationFor
Indicates that one entity holds or maintains configuration settings that are used by or apply to another entity.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:04 p.m.