Triple
T18770790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Certified Associate in Project Management |
E459011
|
entity |
| Predicate | knowledgeAreaCoverage |
P18508
|
FINISHED |
| Object | project integration management |
—
|
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: project integration management | Statement: [Certified Associate in Project Management, knowledgeAreaCoverage, project integration management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowledgeAreaCoverage Context triple: [Certified Associate in Project Management, knowledgeAreaCoverage, project integration management]
-
A.
competenceArea
chosen
Indicates that one entity has a particular domain, field, or area in which it possesses competence, expertise, or responsibility.
-
B.
knowledgeType
Indicates the specific category or nature of knowledge associated with an entity or statement (e.g., factual, procedural, conceptual).
-
C.
knowledgeLevelAssessed
Indicates that an entity’s level of knowledge or understanding has been evaluated or measured, typically against some criteria or standard.
-
D.
sectoralCoverage
Indicates the specific sectors, industries, or domains to which something (such as a policy, agreement, or dataset) applies or extends.
-
E.
subjectAreaLevel
Indicates the hierarchical level or depth of specialization of a particular subject area in relation to others.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59335a01881908731371be1e27a6b |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.