Triple
T14343369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ScalaTest |
E355655
|
entity |
| Predicate | supportsTestingStyle |
P93450
|
FINISHED |
| Object |
FreeSpec
FreeSpec is a ScalaTest testing style that lets you write nested, free-form specifications using a natural, descriptive syntax for organizing tests.
|
E1094380
|
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: FreeSpec | Statement: [ScalaTest, supportsTestingStyle, FreeSpec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FreeSpec Context triple: [ScalaTest, supportsTestingStyle, FreeSpec]
-
A.
Spec#
Spec# is a formally specified, contract-based extension of the C# programming language designed to support program verification and static checking of code correctness.
-
B.
Specs
Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
-
C.
A-Spec
A-Spec is the primary single-player driving mode in the Gran Turismo series where players directly control cars in races and events.
-
D.
A-Spec
A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
-
E.
FLEX
FLEX is a flexible, demand-responsive bus service operated by the North County Transit District in northern San Diego County, California.
- 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: FreeSpec Triple: [ScalaTest, supportsTestingStyle, FreeSpec]
Generated description
FreeSpec is a ScalaTest testing style that lets you write nested, free-form specifications using a natural, descriptive syntax for organizing tests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FreeSpec Target entity description: FreeSpec is a ScalaTest testing style that lets you write nested, free-form specifications using a natural, descriptive syntax for organizing tests.
-
A.
Spec#
Spec# is a formally specified, contract-based extension of the C# programming language designed to support program verification and static checking of code correctness.
-
B.
Specs
Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
-
C.
A-Spec
A-Spec is the primary single-player driving mode in the Gran Turismo series where players directly control cars in races and events.
-
D.
A-Spec
A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
-
E.
FLEX
FLEX is a flexible, demand-responsive bus service operated by the North County Transit District in northern San Diego County, California.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469d899081909103563f209dd944 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47fa764c8190b1d691f5847b7a05 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd492226888190a014b23e506ab19c |
completed | May 8, 2026, 2:23 a.m. |
Created at: April 10, 2026, 1:14 a.m.