Triple
T12390055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle & Cooke |
E295968
|
entity |
| Predicate | originalBusinessActivity |
P35745
|
FINISHED |
| Object | general 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 store | Statement: [Castle & Cooke, originalBusinessActivity, general store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBusinessActivity Context triple: [Castle & Cooke, originalBusinessActivity, general store]
-
A.
originalBusinessType
chosen
Indicates the initial or primary category of business activity or industry classification associated with an entity before any subsequent changes or reclassifications.
-
B.
commercialActivity
Indicates an action or relationship involving the buying, selling, or exchange of goods or services for profit or other economic gain.
-
C.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
D.
primaryBusinessArea
Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
-
E.
commercialActivityLevel
Indicates the intensity or extent of commercial or business-related activity occurring in a given context.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.