Triple
T21276861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Mazanderani |
E524409
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Eastern Mazani
Eastern Mazani is a dialect of the Mazanderani language spoken in the eastern part of Iran’s Mazandaran region.
|
E1476740
|
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: Eastern Mazani | Statement: [Eastern Mazanderani, hasAlternativeName, Eastern Mazani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eastern Mazani Context triple: [Eastern Mazanderani, hasAlternativeName, Eastern Mazani]
-
A.
Central Mazani
Central Mazani is a dialect of the Mazanderani language spoken in the central regions of Iran’s Mazandaran province.
-
B.
Mangini
Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
-
C.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
D.
East Maug
East Maug is one of the small, uninhabited volcanic islets in the Maug Islands of the Northern Mariana Islands in the western Pacific Ocean.
-
E.
Manganiyar
The Manganiyar are a hereditary community of Muslim folk musicians from Rajasthan and Sindh, renowned for their rich oral tradition, devotional and celebratory songs, and distinctive use of instruments like the kamaicha and dholak.
- 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: Eastern Mazani Triple: [Eastern Mazanderani, hasAlternativeName, Eastern Mazani]
Generated description
Eastern Mazani is a dialect of the Mazanderani language spoken in the eastern part of Iran’s Mazandaran region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eastern Mazani Target entity description: Eastern Mazani is a dialect of the Mazanderani language spoken in the eastern part of Iran’s Mazandaran region.
-
A.
Central Mazani
Central Mazani is a dialect of the Mazanderani language spoken in the central regions of Iran’s Mazandaran province.
-
B.
Mangini
Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
-
C.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
D.
East Maug
East Maug is one of the small, uninhabited volcanic islets in the Maug Islands of the Northern Mariana Islands in the western Pacific Ocean.
-
E.
Manganiyar
The Manganiyar are a hereditary community of Muslim folk musicians from Rajasthan and Sindh, renowned for their rich oral tradition, devotional and celebratory songs, and distinctive use of instruments like the kamaicha and dholak.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736583c08819087a4726538e703e2 |
completed | April 21, 2026, 8:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0997ff61748190b8acf7b0f8a49372 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0999bbbf408190b62ce8fe1e724c2c |
completed | May 17, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a099a2edafc8190bc70076bbd8d4f09 |
completed | May 17, 2026, 10:36 a.m. |
Created at: April 16, 2026, 4:02 p.m.