Triple
T7403720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albertopolis |
E170812
|
entity |
| Predicate | hasEducationalSignificance |
P40346
|
FINISHED |
| Object | concentration of higher education institutions |
—
|
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: concentration of higher education institutions | Statement: [Albertopolis, hasEducationalSignificance, concentration of higher education institutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalSignificance Context triple: [Albertopolis, hasEducationalSignificance, concentration of higher education institutions]
-
A.
educationalImportance
chosen
Indicates the degree to which something is significant, valuable, or impactful in an educational or learning context.
-
B.
educationalImpact
Indicates the effect or influence that one entity has on the learning, knowledge, or educational outcomes of another.
-
C.
hasEducationalAudience
Indicates that something is intended for or directed toward a specific educational audience or learner group.
-
D.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
-
E.
hasEducationalLink
Indicates that there is an educational relationship or connection between two entities, such as teaching, learning, training, or academic affiliation.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2701b108190be39174d4534f231 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.