Triple
T20146209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korku |
E491308
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Mundari |
—
|
NE NERFINISHED |
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: Mundari | Statement: [Korku, closelyRelatedTo, Mundari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mundari Context triple: [Korku, closelyRelatedTo, Mundari]
-
A.
Mundari
The Mundari are a Nilotic ethnic group of South Sudan known for their cattle-herding culture and pastoralist lifestyle.
-
B.
Mundari
chosen
Mundari is an Austroasiatic Munda language of eastern India, spoken primarily by the Munda people in states such as Jharkhand, Odisha, and West Bengal.
-
C.
Munduruku
Munduruku is an indigenous people of the Brazilian Amazon known for their distinct language, rich cultural traditions, and historical prominence along the Tapajós River.
-
D.
Munduruku language
The Munduruku language is an indigenous Tupian language spoken by the Munduruku people of the Amazon region in Brazil.
-
E.
Bastar Gondi
Bastar Gondi is a regional variety of the Gondi language spoken primarily by the Gond people in the Bastar region of central India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.