Triple
T7836244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCNP Collaboration |
E181695
|
entity |
| Predicate | concentrationExamType |
P52475
|
FINISHED |
| Object | technology concentration exam |
—
|
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: technology concentration exam | Statement: [CCNP Collaboration, concentrationExamType, technology concentration exam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concentrationExamType Context triple: [CCNP Collaboration, concentrationExamType, technology concentration exam]
-
A.
concentrationClass
Indicates the classification of an entity based on the level or range of its concentration.
-
B.
examType
chosen
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
C.
concentration
Indicates the degree to which a substance or entity is present within a given medium, mixture, or space.
-
D.
entranceExam
Indicates that an entity is required to pass or participate in an entrance examination as a condition for admission or access to another entity.
-
E.
hasConcentration
Indicates that one entity possesses or exhibits a specific level, strength, or density of another substance, property, or attribute.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064cb7e081909e88419863d94dfe |
completed | March 30, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:46 p.m.