Triple
T11526019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Razavi Khorasan Province |
E273296
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kashmar
Kashmar is a city in northeastern Iran known for its agricultural production, especially grapes and raisins, and its location within Razavi Khorasan Province.
|
E939861
|
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: Kashmar | Statement: [Razavi Khorasan Province, containsCity, Kashmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kashmar Context triple: [Razavi Khorasan Province, containsCity, Kashmar]
-
A.
Golestan
Golestan is a settlement located within Baharestan County in Tehran Province, Iran.
-
B.
Golestan
Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
-
C.
Marivan
Marivan is a Kurdish-populated city in western Iran near the Iraqi border, known for its scenic Zarivar Lake and role as a regional commercial and cultural center.
-
D.
Kushk
Kushk is a town in northwestern Afghanistan near the Turkmenistan border, known as a local trade and transit center in Herat Province.
-
E.
Kuhdasht
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
- 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: Kashmar Triple: [Razavi Khorasan Province, containsCity, Kashmar]
Generated description
Kashmar is a city in northeastern Iran known for its agricultural production, especially grapes and raisins, and its location within Razavi Khorasan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kashmar Target entity description: Kashmar is a city in northeastern Iran known for its agricultural production, especially grapes and raisins, and its location within Razavi Khorasan Province.
-
A.
Golestan
Golestan is a settlement located within Baharestan County in Tehran Province, Iran.
-
B.
Golestan
Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
-
C.
Marivan
Marivan is a Kurdish-populated city in western Iran near the Iraqi border, known for its scenic Zarivar Lake and role as a regional commercial and cultural center.
-
D.
Kushk
Kushk is a town in northwestern Afghanistan near the Turkmenistan border, known as a local trade and transit center in Herat Province.
-
E.
Kuhdasht
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd379648190b342e0c4b4f685b7 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef12d90b608190b43fc3aa138aa856 |
completed | April 27, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ef354b3b3c8190b1c91dbf9c705a7d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef5170ce9881908f2ecf3d5ada809a |
completed | April 27, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:37 p.m.