Triple
T20834465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comorian language |
E512921
|
entity |
| Predicate | hasVariety |
P455
|
FINISHED |
| Object |
Shindzuani
Shindzuani is a regional variety of the Comorian language spoken primarily on Anjouan Island in the Comoros.
|
E1451999
|
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: Shindzuani | Statement: [Comorian language, hasVariety, Shindzuani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shindzuani Context triple: [Comorian language, hasVariety, Shindzuani]
-
A.
Mbabane
Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
-
B.
Thabazimbi
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National Park.
-
C.
Mzuzu
Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
-
D.
Sinazongwe
Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
-
E.
Maswa
Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu 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: Shindzuani Triple: [Comorian language, hasVariety, Shindzuani]
Generated description
Shindzuani is a regional variety of the Comorian language spoken primarily on Anjouan Island in the Comoros.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shindzuani Target entity description: Shindzuani is a regional variety of the Comorian language spoken primarily on Anjouan Island in the Comoros.
-
A.
Mbabane
Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
-
B.
Thabazimbi
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National Park.
-
C.
Mzuzu
Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
-
D.
Sinazongwe
Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
-
E.
Maswa
Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32554648190bd66ac99b3a9072b |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090084a1c481909a344ee40d846b10 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a0900fd590c8190b42faa5c5191189a |
completed | May 16, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0901950c1c8190befa72dc20236b9e |
completed | May 16, 2026, 11:45 p.m. |
Created at: April 16, 2026, 12:42 p.m.