Triple
T8072607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaithi script |
E188410
|
entity |
| Predicate | usedForLanguage |
P907
|
FINISHED |
| Object | Magahi language |
E179307
|
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: Magahi language | Statement: [Kaithi script, usedForLanguage, Magahi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magahi language Context triple: [Kaithi script, usedForLanguage, Magahi language]
-
A.
Magahi language
chosen
Magahi language is an Eastern Indo-Aryan language spoken primarily in the Indian state of Bihar and surrounding regions, closely related to languages like Bhojpuri and Maithili.
-
B.
Magar language
Magar language is a Sino-Tibetan language spoken primarily by the Magar ethnic community in central and western Nepal.
-
C.
Kumaoni language
Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
-
D.
Manombai language
The Manombai language is an Austronesian language spoken on the Aru Islands of eastern Indonesia.
-
E.
Mampruli language
Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40482200819086c639f64c01fbb5 |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63ecb04881909b1849dc4ef7c2bc |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:27 p.m.