Triple
T5794826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tshimanda |
E128482
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Tshi-manda (variant spelling)
Tshi-manda is an alternative spelling of the name Tshimanda, referring to the same entity.
|
E546561
|
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: Tshi-manda (variant spelling) | Statement: [Tshimanda, hasAlternativeName, Tshi-manda (variant spelling)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tshi-manda (variant spelling) Context triple: [Tshimanda, hasAlternativeName, Tshi-manda (variant spelling)]
-
A.
Manda
Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
-
B.
Chamiti
Chamiti is the summit that forms the highest peak of Mount Vermio in northern Greece.
-
C.
Tshiilafuri
Tshiilafuri is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
-
D.
Mtiuleti
Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
-
E.
Chavuma
Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
- 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: Tshi-manda (variant spelling) Triple: [Tshimanda, hasAlternativeName, Tshi-manda (variant spelling)]
Generated description
Tshi-manda is an alternative spelling of the name Tshimanda, referring to the same entity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tshi-manda (variant spelling) Target entity description: Tshi-manda is an alternative spelling of the name Tshimanda, referring to the same entity.
-
A.
Manda
Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
-
B.
Chamiti
Chamiti is the summit that forms the highest peak of Mount Vermio in northern Greece.
-
C.
Tshiilafuri
Tshiilafuri is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
-
D.
Mtiuleti
Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
-
E.
Chavuma
Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a91c7788190936671bf816d3772 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098286c1c8190b77cbaeda327dba4 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098a0325c81909a1326b94e40ed50 |
completed | March 23, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09943deec819085992c4e44050a34 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:51 p.m.