Triple
T27975649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | میدان آزادی |
E706480
|
entity |
| Predicate | دستهبندی |
P87
|
FINISHED |
| Object | میدانها و فضاهای عمومی 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: میدانها و فضاهای عمومی تهران | Statement: [میدان آزادی, دستهبندی, میدانها و فضاهای عمومی تهران]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: دستهبندی Context triple: [میدان آزادی, دستهبندی, میدانها و فضاهای عمومی تهران]
-
A.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
B.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
C.
classificationIntroduced
Indicates that one entity has introduced or established a particular classification or categorization for another entity.
-
D.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
E.
classificationStart
Indicates the point in time or process at which a classification or categorization of an entity begins.
- 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.