Triple
T1611056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Git |
E34613
|
entity |
| Predicate | hasConfigurationFile |
P30261
|
FINISHED |
| Object | .gitconfig |
—
|
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: .gitconfig | Statement: [Git, hasConfigurationFile, .gitconfig]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConfigurationFile Context triple: [Git, hasConfigurationFile, .gitconfig]
-
A.
hasConfiguration
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
B.
hasTableConfiguration
Indicates that an entity is associated with or defined by a specific arrangement or setup of a table and its properties.
-
C.
hasFileFormat
Indicates that one entity (typically a digital file or resource) is encoded, stored, or represented using a specific file format defined by the other entity.
-
D.
hasFileExtension
Indicates that one entity (typically a file) possesses a specific file extension denoting its type or format.
-
E.
hasSetting
Indicates that an entity takes place, occurs, or exists within a particular environment, context, or location.
- F. None of above. chosen
Provenance (4 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_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fa5aa04819084d1154ef900303f |
completed | March 5, 2026, 8:32 a.m. |
Created at: March 4, 2026, 7:28 p.m.