Triple
T12617707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saramaka |
E301295
|
entity |
| Predicate | relatedGroup |
P37
|
FINISHED |
| Object | Matawai |
E301296
|
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: Matawai | Statement: [Saramaka, relatedGroup, Matawai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matawai Context triple: [Saramaka, relatedGroup, Matawai]
-
A.
Matawai
chosen
The Matawai are a Maroon community in Suriname descended from escaped African slaves, known for their distinct language, culture, and settlements along the Saramacca River.
-
B.
Nawuli
Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
-
C.
Tanna
Tanna is a volcanic island in southern Vanuatu known for its active Mount Yasur volcano and traditional kastom villages.
-
D.
Waiwai
The Waiwai are an Indigenous people of the Amazonian Guianas known for their forest-based livelihoods, rich shamanic traditions, and small village communities spread across southern Guyana and northern Brazil.
-
E.
Lautém
Lautém is a coastal municipality in the easternmost part of Timor-Leste, known for its rugged landscapes, traditional culture, and important ecological sites.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686d770881909850ffaf820171d9 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:13 p.m.