Triple
T1332410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sranan |
E28672
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Sranan Tongo |
E4255
|
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: Sranan Tongo | Statement: [Sranan, alternateName, Sranan Tongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sranan Tongo Context triple: [Sranan, alternateName, Sranan Tongo]
-
A.
Sranan Tongo
chosen
Sranan Tongo is an English- and Dutch-influenced creole language originating in Suriname, widely used as a lingua franca among its diverse ethnic communities.
-
B.
Bislama
Bislama is an English-based creole language widely spoken in Vanuatu and used as a key lingua franca across its many islands and communities.
-
C.
Tok Pisin
Tok Pisin is an English-based creole language widely spoken in Papua New Guinea, where it serves as a major lingua franca and one of the country’s primary official languages.
-
D.
Shona
Shona is a major Bantu language of Zimbabwe, widely spoken by the Shona people and used in education, media, and government.
-
E.
Tsonga language
The Tsonga language is a Bantu language spoken primarily in southern Africa, especially in Mozambique, South Africa, Eswatini, and Zimbabwe.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1e7f1388190a6e4eb65a7997380 |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce641c6481908a3d2b9e9fc423d7 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:55 p.m.