Triple
T29389578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | android.print.PrintAttributes.Margins |
E745339
|
entity |
| Predicate | unitDescription |
P166717
|
FINISHED |
| Object | one mil equals one thousandth of an inch |
—
|
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: one mil equals one thousandth of an inch | Statement: [android.print.PrintAttributes.Margins, unitDescription, one mil equals one thousandth of an inch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unitDescription Context triple: [android.print.PrintAttributes.Margins, unitDescription, one mil equals one thousandth of an inch]
-
A.
toolDescribed
Indicates that one entity provides a description or explanation of a tool associated with another entity.
-
B.
usesDescriptionProtocol
Indicates that one entity employs or adheres to a specific description protocol defined or provided by another entity.
-
C.
settingDescription
Indicates the descriptive details or characteristics that define the context or environment in which something occurs.
-
D.
tierDescription
Indicates the descriptive text that explains or characterizes a specific tier or level within a hierarchy or classification.
-
E.
outputDescription
Indicates that an entity produces or generates a particular description as its output.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669d578608190962d35116a01420c |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:41 p.m.