Triple
T27833656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essence (software engineering method framework) |
E703167
|
entity |
| Predicate | kernelFocus |
P31
|
FINISHED |
| Object | competencies needed in software engineering |
—
|
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: competencies needed in software engineering | Statement: [Essence (software engineering method framework), kernelFocus, competencies needed in software engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kernelFocus Context triple: [Essence (software engineering method framework), kernelFocus, competencies needed in software engineering]
-
A.
kernelConsistsOf
Indicates that a kernel is composed of or made up from the specified constituent elements or components.
-
B.
deploymentFocus
Indicates the primary area, target, or aspect that a deployment is directed toward or concentrated on.
-
C.
focusFeature
Indicates that one entity is the primary or emphasized feature, aspect, or attribute being highlighted or concentrated on in relation to another.
-
D.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
-
E.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 5:58 p.m.