Triple
T5989387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Knowledge Park |
E133305
|
entity |
| Predicate | targetOrganizations |
P67775
|
FINISHED |
| Object | universities |
—
|
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: universities | Statement: [Dubai Knowledge Park, targetOrganizations, universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOrganizations Context triple: [Dubai Knowledge Park, targetOrganizations, universities]
-
A.
targetOrganization
Indicates that one entity is the organization that is the focus, recipient, or primary subject of another entity’s action, service, or relationship.
-
B.
involvedOrganizations
Indicates that there is a participation or engagement relationship between an entity and one or more organizations in the context of a specific event, activity, or project.
-
C.
targetCompanies
Indicates that certain companies are the intended focus or recipients of a particular action, effort, or objective.
-
D.
sectoralOrganizations
Indicates that there is an organizational relationship specifically structured around a particular sector or industry.
-
E.
controlledOrganization
Indicates that one entity has the authority to direct, manage, or significantly influence the operations and decisions of another organization.
- F. None of above. chosen
Provenance (4 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc76fd481908cc3f327e532a1a6 |
completed | March 22, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04a663a4481908983048c69cba6b6 |
completed | March 22, 2026, 8 p.m. |
Created at: March 22, 2026, 4:05 p.m.