xslp13
E358049
xslp13 is an Apache Ant task used to perform XSLT transformations within Ant build scripts.
All labels observed (1)
| Label | Occurrences |
|---|---|
| xslp13 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3418408 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: xslp13 Context triple: [Apache Ant, supportsTask, xslp13]
-
A.
CASP13
CASP13 is the 13th Critical Assessment of protein Structure Prediction experiment, an international community-wide competition that benchmarks computational methods for predicting 3D protein structures.
-
B.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
C.
SL3
SL3 is a branch of Boston’s MBTA Silver Line bus rapid transit system that connects South Station with Chelsea via the Seaport and East Boston tunnels.
-
D.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
E.
SLD
SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: xslp13 Target entity description: xslp13 is an Apache Ant task used to perform XSLT transformations within Ant build scripts.
-
A.
CASP13
CASP13 is the 13th Critical Assessment of protein Structure Prediction experiment, an international community-wide competition that benchmarks computational methods for predicting 3D protein structures.
-
B.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
C.
SL3
SL3 is a branch of Boston’s MBTA Silver Line bus rapid transit system that connects South Station with Chelsea via the Seaport and East Boston tunnels.
-
D.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
E.
SLD
SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
Apache Ant task
ⓘ
software build tool component ⓘ |
| automationRole | automates XSLT transformations as part of build pipeline ⓘ |
| belongsToEcosystem |
Apache Ant tasks
ⓘ
Java build tools ⓘ |
| canBeConfiguredWith | task attributes in Ant XML ⓘ |
| category |
XML processing
ⓘ
build automation ⓘ |
| configuredIn | build.xml ⓘ |
| executionContext | Ant build process ⓘ |
| hasFunction | transform XML files using XSLT stylesheets during builds ⓘ |
| hasInput |
XSLT stylesheet
ⓘ
source XML file ⓘ |
| hasOutput | transformed XML or text file ⓘ |
| invokedBy | Ant target execution ⓘ |
| operatesOn |
XML documents
ⓘ
XSLT stylesheets ⓘ |
| relatedTo |
Apache Ant
ⓘ
XSLT ⓘ |
| requires | Apache Ant environment ⓘ |
| supports | XSLT transformations ⓘ |
| typicalUseCase |
generating artifacts from XML using XSLT
ⓘ
preprocessing XML resources during build ⓘ |
| usedFor | performing XSLT transformations in Apache Ant build scripts ⓘ |
| usedIn | Apache Ant build files ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: xslp13 Description of subject: xslp13 is an Apache Ant task used to perform XSLT transformations within Ant build scripts.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Ant