Triple
T27975646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | میدان آزادی |
E706480
|
entity |
| Predicate | نقش در تصویر شهر |
P84451
|
FINISHED |
| Object | یکی از اصلیترین سوژههای کارتپستالهای تهران |
—
|
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: یکی از اصلیترین سوژههای کارتپستالهای تهران | Statement: [میدان آزادی, نقش در تصویر شهر, یکی از اصلیترین سوژههای کارتپستالهای تهران]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نقش در تصویر شهر Context triple: [میدان آزادی, نقش در تصویر شهر, یکی از اصلیترین سوژههای کارتپستالهای تهران]
-
A.
עיר מוצא
Indicates the city from which an entity originates or comes.
-
B.
cityScene
Indicates a scene or setting that takes place within an urban or city environment.
-
C.
البلدية المشرفة
Indicates that a specific municipality has administrative oversight or supervisory authority over something (such as an area, project, or facility).
-
D.
cityDepicted
chosen
Indicates that a work (such as an image, artwork, or document) visually or representationally depicts a particular city.
-
E.
cityView
Indicates that one entity offers a view of, or overlooks, a city.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b38a5c081908edb1c9a415c914b |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:41 p.m.