Triple
T8080173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sekopa dialect |
E188593
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Sekopa
Sekopa is a Bantu language variety spoken in parts of southern Africa, recognized as a dialect within the broader Sotho-Tswana language group.
|
E710530
|
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: Sekopa | Statement: [Sekopa dialect, hasAlternativeName, Sekopa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sekopa Context triple: [Sekopa dialect, hasAlternativeName, Sekopa]
-
A.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
B.
Pichichi
Pichichi was a famed early 20th-century Spanish footballer and prolific Athletic Bilbao forward whose legacy lives on through La Liga’s top-scorer award bearing his nickname.
-
C.
Totsakan
Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
-
D.
Bola
Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
-
E.
Shama
Shama is a coastal town in Ghana known historically as a fishing community and trading post along the Gulf of Guinea.
- 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: Sekopa Triple: [Sekopa dialect, hasAlternativeName, Sekopa]
Generated description
Sekopa is a Bantu language variety spoken in parts of southern Africa, recognized as a dialect within the broader Sotho-Tswana language group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sekopa Target entity description: Sekopa is a Bantu language variety spoken in parts of southern Africa, recognized as a dialect within the broader Sotho-Tswana language group.
-
A.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
B.
Pichichi
Pichichi was a famed early 20th-century Spanish footballer and prolific Athletic Bilbao forward whose legacy lives on through La Liga’s top-scorer award bearing his nickname.
-
C.
Totsakan
Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
-
D.
Bola
Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
-
E.
Shama
Shama is a coastal town in Ghana known historically as a fishing community and trading post along the Gulf of Guinea.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a504d48190ace96e814d99b182 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f79ac08190af49e77bee67921d |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651d340c819089306bac7110f57a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc666ecc04819092ee4cc035dde627 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 5:28 p.m.