Triple
T35886661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Specialties, Aromatics and Styrenics |
E1037662
|
entity |
| Predicate | belongsToBusinessType |
P68868
|
FINISHED |
| Object | B2B chemical business |
—
|
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: B2B chemical business | Statement: [Specialties, Aromatics and Styrenics, belongsToBusinessType, B2B chemical business]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToBusinessType Context triple: [Specialties, Aromatics and Styrenics, belongsToBusinessType, B2B chemical business]
-
A.
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.
-
B.
belongsToCompanyType
Indicates that an entity is associated with or classified under a particular type or category of company.
-
C.
hasTypeOfBusinesses
chosen
Indicates that an entity is associated with or contains specific categories or kinds of businesses.
-
D.
eligibleBusinessType
Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
-
E.
originalBusinessType
Indicates the initial or primary category of business activity or industry classification associated with an entity before any subsequent changes or reclassifications.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
Created at: May 3, 2026, 4:06 p.m.