Triple
T9476590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ay yıldız |
E228530
|
entity |
| Predicate | geometricDesign |
P1529
|
FINISHED |
| Object | defined by Turkish Flag Law |
—
|
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: defined by Turkish Flag Law | Statement: [Ay yıldız, geometricDesign, defined by Turkish Flag Law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geometricDesign Context triple: [Ay yıldız, geometricDesign, defined by Turkish Flag Law]
-
A.
geometricConfiguration
Indicates the specific spatial arrangement and relationships among parts or elements within a geometric structure.
-
B.
geometricSetting
Indicates the spatial or geometric context within which an object, relation, or event is defined or occurs.
-
C.
geometricFunction
Indicates a relationship where one entity serves as a geometric transformation or operation that, when applied, produces or modifies another geometric entity.
-
D.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
designedArea
Indicates that an area has been intentionally planned, shaped, or configured according to a specific design or purpose.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd80127744819082176b2d4417216e |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:54 p.m.