Triple
T32881181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knox family |
E841068
|
entity |
| Predicate | businessInvolvement |
P43399
|
FINISHED |
| Object | retail |
—
|
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: retail | Statement: [Knox family, businessInvolvement, retail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessInvolvement Context triple: [Knox family, businessInvolvement, retail]
-
A.
involvesBusiness
Indicates that an action, event, or relationship includes participation or engagement by a business entity.
-
B.
businessActivities
Indicates the commercial operations, transactions, or services that an entity conducts as part of its business.
-
C.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
D.
industryActivities
Indicates the types of economic or business activities in which an industry or sector is engaged.
-
E.
commercialActivity
chosen
Indicates an action or relationship involving the buying, selling, or exchange of goods or services for profit or other economic gain.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:18 a.m.