Triple
T10273198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primary Separation |
E240890
|
entity |
| Predicate | hasSurfaceTreatment |
P44444
|
FINISHED |
| Object | industrial finish |
—
|
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: industrial finish | Statement: [Primary Separation, hasSurfaceTreatment, industrial finish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceTreatment Context triple: [Primary Separation, hasSurfaceTreatment, industrial finish]
-
A.
hasSurfaceQuality
Indicates that one entity possesses a particular characteristic or condition of its surface.
-
B.
hasSurfaceComposition
Indicates that one entity has a surface made up of, or characterized by, the material or composition specified by another entity.
-
C.
coatingType
Indicates the type or kind of coating applied to or associated with an entity.
-
D.
hasAlternativeSurface
Indicates that one entity serves as a different or substitute surface option for another entity.
-
E.
textureTreatment
chosen
Indicates how an entity’s surface feel or texture has been modified, processed, or treated.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d288acf48190bbf14a5cb2dfe1f4 |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:36 a.m.