Triple
T7573619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magahi language |
E179307
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Angika language |
E588489
|
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: Angika language | Statement: [Magahi language, relatedTo, Angika language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angika language Context triple: [Magahi language, relatedTo, Angika language]
-
A.
Angika language
chosen
Angika language is an Eastern Indo-Aryan language spoken primarily in parts of Bihar and Jharkhand in India, known for its close relation to Maithili and its rich regional literary tradition.
-
B.
Ikalanga language
Ikalanga language is a Bantu language spoken primarily in Botswana and southwestern Zimbabwe by the Kalanga people.
-
C.
Nomatsiguenga language
The Nomatsiguenga language is an Arawakan language spoken by the Nomatsiguenga people of Peru’s Amazon rainforest, closely associated with the broader Asháninka linguistic and cultural group.
-
D.
Daakaka language
The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
-
E.
Logba language
The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f948e1e08190ad807292365a0c27 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856ea9a2c8190a81762ac509c4c97 |
completed | March 28, 2026, 10:32 p.m. |
Created at: March 27, 2026, 3:51 p.m.