Triple
T5922844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CommonJS module system |
E131737
|
entity |
| Predicate | moduleIdentifierType |
P3732
|
FINISHED |
| Object | string path or package name |
—
|
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: string path or package name | Statement: [CommonJS module system, moduleIdentifierType, string path or package name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moduleIdentifierType Context triple: [CommonJS module system, moduleIdentifierType, string path or package name]
-
A.
modulusType
Indicates the type or category of modulus associated with an entity or operation (e.g., which modulus definition or scheme is being used).
-
B.
identifierFor
chosen
Indicates that one entity serves as a unique identifying label or code for another entity.
-
C.
componentType
Indicates that one entity specifies or classifies the kind or category of component that another entity represents or uses.
-
D.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
E.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.