Triple
T21258803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Mazanderani |
E523940
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Central Mazani
Central Mazani is a dialect of the Mazanderani language spoken in the central regions of Iran’s Mazandaran province.
|
E1475305
|
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: Central Mazani | Statement: [Central Mazanderani, hasAlternativeName, Central Mazani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Mazani Context triple: [Central Mazanderani, hasAlternativeName, Central Mazani]
-
A.
Migama
Migama is an Afro-Asiatic (Chadic) language spoken in parts of Chad.
-
B.
Mazilu
Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, and the arts.
-
C.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
-
D.
Kayamandi
Kayamandi is a predominantly Black township on the outskirts of Stellenbosch in South Africa, known for its vibrant community life and history rooted in apartheid-era urban planning.
-
E.
Mokama
Mokama is a town in the Patna district of Bihar, India, situated along the Ganges River and known as an important regional transport and industrial hub.
- 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: Central Mazani Triple: [Central Mazanderani, hasAlternativeName, Central Mazani]
Generated description
Central Mazani is a dialect of the Mazanderani language spoken in the central regions of Iran’s Mazandaran province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Central Mazani Target entity description: Central Mazani is a dialect of the Mazanderani language spoken in the central regions of Iran’s Mazandaran province.
-
A.
Migama
Migama is an Afro-Asiatic (Chadic) language spoken in parts of Chad.
-
B.
Mazilu
Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, and the arts.
-
C.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
-
D.
Kayamandi
Kayamandi is a predominantly Black township on the outskirts of Stellenbosch in South Africa, known for its vibrant community life and history rooted in apartheid-era urban planning.
-
E.
Mokama
Mokama is a town in the Patna district of Bihar, India, situated along the Ganges River and known as an important regional transport and industrial hub.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735e477d08190be17ad5384d69a80 |
completed | April 21, 2026, 8:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a098ffc53b08190b3d6ed00c7d104d6 |
completed | May 17, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_6a0991b637288190912b5557826b2a9b |
completed | May 17, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0992aa17408190bef9b0f1477d3e1f |
completed | May 17, 2026, 10:04 a.m. |
Created at: April 16, 2026, 3:59 p.m.