Triple
T27975645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | میدان آزادی |
E706480
|
entity |
| Predicate | اهمیت توریستی |
P7889
|
FINISHED |
| Object | نقطه پرتردد برای عکاسی و بازدید گردشگران |
—
|
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: نقطه پرتردد برای عکاسی و بازدید گردشگران | Statement: [میدان آزادی, اهمیت توریستی, نقطه پرتردد برای عکاسی و بازدید گردشگران]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اهمیت توریستی Context triple: [میدان آزادی, اهمیت توریستی, نقطه پرتردد برای عکاسی و بازدید گردشگران]
-
A.
tourismImportance
chosen
Indicates the degree to which a place or entity is significant or valuable as a destination or attraction for tourists.
-
B.
tourismTrend
Indicates how patterns or levels of tourism activity change over time or across locations.
-
C.
tourismBoom
Indicates a rapid and significant increase in tourism activity, such as visitor numbers, spending, or development, within a particular place or period.
-
D.
hadTourismEconomyFor
Indicates that an entity has sustained a tourism-based economy for a specified period or duration.
-
E.
tourismModel
Indicates the conceptual framework or approach that defines how tourism activities, services, and interactions are structured and operate within a given context.
- 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_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 7:41 p.m.