Triple
T5614586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lomwe |
E147444
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Echilómwe
Echilómwe is a Bantu language spoken primarily by the Lomwe people of Mozambique and Malawi.
|
E534695
|
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: Echilómwe | Statement: [Lomwe, hasAlternativeName, Echilómwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Echilómwe Context triple: [Lomwe, hasAlternativeName, Echilómwe]
-
A.
Chimwiini
Chimwiini is a Bantu language of the Sabaki subgroup spoken primarily along the southern Somali coast, closely related to Swahili.
-
B.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
C.
Esigodini
Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
-
D.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
E.
Tallimba
Tallimba is a small rural locality in the Riverina region of New South Wales, Australia, situated within an agricultural area west of the town of West Wyalong.
- 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: Echilómwe Triple: [Lomwe, hasAlternativeName, Echilómwe]
Generated description
Echilómwe is a Bantu language spoken primarily by the Lomwe people of Mozambique and Malawi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Echilómwe Target entity description: Echilómwe is a Bantu language spoken primarily by the Lomwe people of Mozambique and Malawi.
-
A.
Chimwiini
Chimwiini is a Bantu language of the Sabaki subgroup spoken primarily along the southern Somali coast, closely related to Swahili.
-
B.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
C.
Esigodini
Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
-
D.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
E.
Tallimba
Tallimba is a small rural locality in the Riverina region of New South Wales, Australia, situated within an agricultural area west of the town of West Wyalong.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02123fa9081909086c9cce3f3e907 |
completed | March 22, 2026, 5:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d51c12c8190911fb9a0c0d234d8 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e89b7c481908abae227d22cc814 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f41b158819097f9ef536215e248 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:39 p.m.