Triple
T23253773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spreckels |
E581808
|
entity |
| Predicate | businessTypeAssociated |
P68868
|
FINISHED |
| Object | sugar refining companies |
—
|
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: sugar refining companies | Statement: [Spreckels, businessTypeAssociated, sugar refining companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessTypeAssociated Context triple: [Spreckels, businessTypeAssociated, sugar refining companies]
-
A.
eligibleBusinessType
Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
-
B.
hasBusinessTypeAlong
Indicates that a business or commercial entity located along a route, corridor, or area is associated with a specific type or category of business activity.
-
C.
hasTypeOfBusinesses
chosen
Indicates that an entity is associated with or contains specific categories or kinds of businesses.
-
D.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
E.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f9d904819097315c9bf031f667 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.