Triple
T6771254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyin language |
E155046
|
entity |
| Predicate | languageGroup |
P3349
|
FINISHED |
| Object | Tano |
E302236
|
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: Tano | Statement: [Anyin language, languageGroup, Tano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tano Context triple: [Anyin language, languageGroup, Tano]
-
A.
Assa River
The Assa River is a mountain river in the North Caucasus that flows through parts of Georgia and Russia before joining the Terek River.
-
B.
Assa River
The Assa River is a waterway in the North Caucasus region that flows through parts of Russia and Georgia before joining the Sunzha River.
-
C.
Central Tano
chosen
Central Tano is a subgroup of the Niger-Congo language family that includes the Akan languages spoken primarily in Ghana and neighboring regions.
-
D.
Beni River
The Beni River is a major waterway in northern Bolivia that flows through the Amazon Basin, supporting rich biodiversity and local communities along its course.
-
E.
Bua River
The Bua River is a major river in Malawi that drains part of the country’s central region before emptying into Lake Malawi.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2496fa08190895d8b625fb0d699 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712c46b70819097401afab991c808 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:13 p.m.