Triple
T14818414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Khorasan Province |
E348379
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Boshruyeh
Boshruyeh is a city in eastern Iran known for its traditional desert architecture and location within South Khorasan Province.
|
E1129679
|
NE FINISHED |
How this triple was built (4 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: Boshruyeh | Statement: [South Khorasan Province, hasCity, Boshruyeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boshruyeh Context triple: [South Khorasan Province, hasCity, Boshruyeh]
-
A.
Oshnavieh
Oshnavieh is a small city in northwestern Iran known for its Kurdish population and mountainous surroundings near the border with Iraq.
-
B.
Hafezieh
Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
-
C.
Sarbisheh
Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
-
D.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
E.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Boshruyeh Triple: [South Khorasan Province, hasCity, Boshruyeh]
Generated description
Boshruyeh is a city in eastern Iran known for its traditional desert architecture and location within South Khorasan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boshruyeh Target entity description: Boshruyeh is a city in eastern Iran known for its traditional desert architecture and location within South Khorasan Province.
-
A.
Oshnavieh
Oshnavieh is a small city in northwestern Iran known for its Kurdish population and mountainous surroundings near the border with Iraq.
-
B.
Hafezieh
Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
-
C.
Sarbisheh
Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
-
D.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
E.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
- F. None of above. chosen
Provenance (5 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bc7aba08190b2e125b174751a53 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8ed29fa0819086d5c7cb7f64a496 |
completed | May 9, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8f3cfe3c819093b076635edc2f46 |
completed | May 9, 2026, 1:34 a.m. |
Created at: April 10, 2026, 1:50 a.m.