Triple
T8806610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BORL |
E209547
|
entity |
| Predicate | associatedWithNotableProductLine |
P1481
|
FINISHED |
| Object | Turbo series development tools |
—
|
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: Turbo series development tools | Statement: [BORL, associatedWithNotableProductLine, Turbo series development tools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNotableProductLine Context triple: [BORL, associatedWithNotableProductLine, Turbo series development tools]
-
A.
associatedCompanyMainProductLine
Indicates that a company’s primary or main line of products is linked or related to a specified product category or product line.
-
B.
belongsToProductLine
Indicates that an item or product is associated with and classified under a specific product line.
-
C.
usedInProductLine
Indicates that something (such as a component, material, or feature) is utilized within a particular product line.
-
D.
notablyAssociatedWith
chosen
Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
-
E.
associatedLine
Indicates that one entity is linked or connected to a particular line (such as a line item, line of text, or line in a structure) with which it is contextually or functionally related.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fd1f1a08190a2e584f6b0495f5c |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.