Triple
T1612975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unity |
E34651
|
entity |
| Predicate | supportsVersionControlIntegration |
P203
|
FINISHED |
| Object |
Plastic SCM
Plastic SCM is a distributed version control system designed for large-scale and game development projects, offering advanced branching, merging, and graphical tools.
|
E183367
|
NE FINISHED |
How this triple was built (4 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: Plastic SCM | Statement: [Unity, supportsVersionControlIntegration, Plastic SCM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plastic SCM Context triple: [Unity, supportsVersionControlIntegration, Plastic SCM]
-
A.
SCM
SCM is a professional medical conference known as the Spring Clinical Meeting, where clinicians and researchers gather to share and discuss advances in clinical practice.
-
B.
SVN
SVN is the IATA airport code for Hunter Army Airfield, a U.S. military airfield located near Savannah, Georgia.
-
C.
SVN
SVN is the three-letter ISO 3166-1 alpha-3 country code assigned to Slovenia.
-
D.
TFS
TFS is the IATA airport code for Tenerife South Airport, a major international gateway to Spain’s Canary Islands.
-
E.
Git
Git is a widely used distributed version control system designed to efficiently track changes in source code and support collaborative software development.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Plastic SCM Triple: [Unity, supportsVersionControlIntegration, Plastic SCM]
Generated description
Plastic SCM is a distributed version control system designed for large-scale and game development projects, offering advanced branching, merging, and graphical tools.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plastic SCM Target entity description: Plastic SCM is a distributed version control system designed for large-scale and game development projects, offering advanced branching, merging, and graphical tools.
-
A.
SCM
SCM is a professional medical conference known as the Spring Clinical Meeting, where clinicians and researchers gather to share and discuss advances in clinical practice.
-
B.
SVN
SVN is the IATA airport code for Hunter Army Airfield, a U.S. military airfield located near Savannah, Georgia.
-
C.
SVN
SVN is the three-letter ISO 3166-1 alpha-3 country code assigned to Slovenia.
-
D.
TFS
TFS is the IATA airport code for Tenerife South Airport, a major international gateway to Spain’s Canary Islands.
-
E.
GitLab
GitLab is a web-based DevOps platform that provides Git repository hosting along with integrated tools for source code management, CI/CD, and project collaboration.
- F. None of above. chosen
Provenance (5 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61df32a88190a7e823a77bdcc84a |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51c751308190a89f6462ee365418 |
completed | March 8, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69ad52f6b15c819097d4e56884e31600 |
completed | March 8, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad53536a108190b97b7017ad567ad5 |
completed | March 8, 2026, 10:45 a.m. |
Created at: March 4, 2026, 7:28 p.m.