Triple
T25954955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Advertising (Istanbul University) |
E654068
|
entity |
| Predicate | sectorLinks |
P75504
|
FINISHED |
| Object | advertising industry in Turkey |
—
|
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: advertising industry in Turkey | Statement: [Department of Advertising (Istanbul University), sectorLinks, advertising industry in Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorLinks Context triple: [Department of Advertising (Istanbul University), sectorLinks, advertising industry in Turkey]
-
A.
linkedSector
chosen
Indicates that one sector is associated or connected to another sector in a meaningful or relevant way.
-
B.
sectorBase
Indicates that one entity serves as the primary base or foundational location for operations within a particular sector of another entity.
-
C.
sectorIncludes
Indicates that a broader sector encompasses or contains a specified sub-sector, area, or component within its scope.
-
D.
sectoralOrganizations
Indicates that there is an organizational relationship specifically structured around a particular sector or industry.
-
E.
landingSectors
Indicates a relationship where specific sectors or areas are designated or used as locations for landing.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 22, 2026, 8:44 a.m.