Triple
T35631856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havoline |
E1029608
|
entity |
| Predicate | hasViscosityGrade |
P48486
|
FINISHED |
| Object | SAE 5W-30 |
—
|
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: SAE 5W-30 | Statement: [Havoline, hasViscosityGrade, SAE 5W-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViscosityGrade Context triple: [Havoline, hasViscosityGrade, SAE 5W-30]
-
A.
viscosity
chosen
Indicates the degree to which a fluid resists flowing or changing shape under an applied force.
-
B.
hasFuelGrade
Indicates that an entity (such as a fuel or fueling point) is associated with a specific fuel grade or quality classification.
-
C.
hasLubricationMethod
Indicates the method or technique by which lubrication is applied or provided in a given context.
-
D.
hasIceOrMixedGrade
Indicates that a road segment or surface currently has icy conditions or a mixture of ice and other surface states (e.g., wet, slushy, or bare).
-
E.
hasSpecificGravity
Indicates that one entity has a specific gravity value equal to or characteristic of another entity or reference substance.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: May 3, 2026, 4:05 p.m.