Triple
T23944950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VHB Tape |
E602887
|
entity |
| Predicate | requiresSurfacePreparation |
P68707
|
FINISHED |
| Object | clean surface |
—
|
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: clean surface | Statement: [VHB Tape, requiresSurfacePreparation, clean surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresSurfacePreparation Context triple: [VHB Tape, requiresSurfacePreparation, clean surface]
-
A.
preparationRequirement
chosen
Indicates that one entity must be prepared, configured, or made ready as a necessary condition before another entity, action, or process can occur or be valid.
-
B.
preparationInvolved
Indicates that a particular preparation, process, or setup is involved in enabling or carrying out an action, event, or relationship.
-
C.
preparesFor
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
D.
hasSurfaceQuality
Indicates that one entity possesses a particular characteristic or condition of its surface.
-
E.
usesSurface
Indicates that one entity employs or interacts with another entity as a surface or platform for its action or function.
- 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_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. |
Created at: April 17, 2026, 9:11 p.m.