Triple
T23944928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VHB Tape |
E602887
|
entity |
| Predicate | adhesiveType |
P154446
|
FINISHED |
| Object | acrylic adhesive |
—
|
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: acrylic adhesive | Statement: [VHB Tape, adhesiveType, acrylic adhesive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adhesiveType Context triple: [VHB Tape, adhesiveType, acrylic adhesive]
-
A.
coatingType
Indicates the type or kind of coating applied to or associated with an entity.
-
B.
sealType
Indicates the specific kind or category of seal associated with an entity or connection.
-
C.
factorOfAdhesion
Indicates the degree to which one surface or material adheres to or grips another, typically affecting traction or resistance to sliding between them.
-
D.
applicatorType
Indicates the specific kind or method of applicator used to apply a substance or product in the described relationship.
-
E.
typeOfFixing
Indicates the specific method or manner in which one entity is fastened, attached, or secured to another.
- F. None of above. chosen
Provenance (4 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02d07b08190acbcbb646cd9a58e |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:11 p.m.