Triple
T2038949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian Azerbaijan |
E44697
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Mianeh
Mianeh is a significant city in northwestern Iran known as an important urban and transportation center in the East Azerbaijan region.
|
E229944
|
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: Mianeh | Statement: [Iranian Azerbaijan, hasMajorCity, Mianeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mianeh Context triple: [Iranian Azerbaijan, hasMajorCity, Mianeh]
-
A.
Mardan
Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
-
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.
Parsa
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
-
D.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
E.
Darband
Darband is another name for Derbent, an ancient fortified city on the Caspian Sea in present-day Dagestan, Russia, known for its strategic mountain pass and historic defensive walls.
- 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: Mianeh Triple: [Iranian Azerbaijan, hasMajorCity, Mianeh]
Generated description
Mianeh is a significant city in northwestern Iran known as an important urban and transportation center in the East Azerbaijan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mianeh Target entity description: Mianeh is a significant city in northwestern Iran known as an important urban and transportation center in the East Azerbaijan region.
-
A.
Mardan
Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
-
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.
Parsa
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
-
D.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
E.
Darband
Darband is another name for Derbent, an ancient fortified city on the Caspian Sea in present-day Dagestan, Russia, known for its strategic mountain pass and historic defensive walls.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb951870481909dbdd8fc8b0c02fe |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ff63de081908795a95c998dd9ac |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae20a6ce14819098007416d6377f2e |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2130ba448190b91f590a348ebf88 |
completed | March 9, 2026, 1:24 a.m. |
Created at: March 4, 2026, 7:39 p.m.