Triple
T34956622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boot |
E1008135
|
entity |
| Predicate | taskDefinitionLanguage |
P182123
|
FINISHED |
| Object | Clojure |
—
|
NE NERFINISHED |
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: Clojure | Statement: [Boot, taskDefinitionLanguage, Clojure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taskDefinitionLanguage Context triple: [Boot, taskDefinitionLanguage, Clojure]
-
A.
jobDefinitionPattern
Indicates a recurring or standardized configuration that defines how a particular job or task should be structured or executed.
-
B.
executionModel
Indicates how a process, task, or operation is carried out or implemented, specifying the underlying method, strategy, or mechanism of its execution.
-
C.
commandLanguageScript
Indicates that a command or instruction is expressed or encoded using a particular language script.
-
D.
scriptLanguageIdentifier
Indicates the specific programming or scripting language associated with a given script or code artifact.
-
E.
languageOfIntegration
Indicates the language used as the primary medium for integrating or assimilating an entity into a particular system, community, or context.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7870dfe108190996c0c68630edc7f |
completed | May 3, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4 p.m.