Triple
T14439521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xslp13 |
E358049
|
entity |
| Predicate | automationRole |
P105433
|
FINISHED |
| Object | automates XSLT transformations as part of build pipeline |
—
|
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: automates XSLT transformations as part of build pipeline | Statement: [xslp13, automationRole, automates XSLT transformations as part of build pipeline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: automationRole Context triple: [xslp13, automationRole, automates XSLT transformations as part of build pipeline]
-
A.
systemRole
Indicates the functional position or responsibility that an entity holds within a larger system or structure.
-
B.
antRole
Indicates that one entity has a specific role, function, or responsibility in relation to another entity.
-
C.
codeRole
chosen
Indicates a relationship where an entity serves a specific role or function within a piece of code or software system.
-
D.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
E.
encodingRole
Indicates the role or function an entity has in the process of encoding information into a particular form or representation.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.