Triple
T7840365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghagra |
E181789
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Langa |
E232826
|
NE FINISHED |
How this triple was built (2 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: Langa | Statement: [Ghagra, hasAlternativeName, Langa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langa Context triple: [Ghagra, hasAlternativeName, Langa]
-
A.
Langa
chosen
Langa is a surname and place name found in various cultures, notably in Southern Africa and parts of Europe.
-
B.
Lengoʼ
Lengoʼ is an Oceanic language spoken by communities in the Solomon Islands, particularly on parts of Guadalcanal.
-
C.
Ikalanga
Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
-
D.
Luyengo
Luyengo is a locality in Eswatini known for hosting the Luyengo Campus of the University of Eswatini and its agricultural education facilities.
-
E.
Zangaléwa
Zangaléwa is a popular 1986 makossa song by the Cameroonian group Golden Sounds, widely known across Africa and later internationally after being adapted into Shakira’s World Cup anthem "Waka Waka (This Time for Africa)."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c589748190b34d0911d373e194 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aca5e348190bb73fc4748093248 |
completed | March 31, 2026, 5:25 a.m. |
Created at: March 30, 2026, 4:47 p.m.