Triple
T4212757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahlia University |
E93942
|
entity |
| Predicate | hasQualityAssurance |
P50780
|
FINISHED |
| Object | internal quality assurance unit |
—
|
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: internal quality assurance unit | Statement: [Ahlia University, hasQualityAssurance, internal quality assurance unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQualityAssurance Context triple: [Ahlia University, hasQualityAssurance, internal quality assurance unit]
-
A.
requiresQuality
Indicates that one entity depends on or needs another entity to possess a specific quality or attribute in order for a condition, action, or relationship to hold.
-
B.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
-
C.
hasSafetyCertificate
Indicates that an entity possesses or has been granted a valid safety certificate.
-
D.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
E.
associatedWithQuality
chosen
Indicates that an entity is linked to, characterized by, or possesses a particular quality 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.