Triple
T19079793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahabad region |
E466995
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Magahi |
—
|
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: Magahi | Statement: [Shahabad region, language, Magahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magahi Context triple: [Shahabad region, language, Magahi]
-
A.
Magahi
chosen
Magahi is an Eastern Indo-Aryan language spoken primarily in the Indian state of Bihar and surrounding regions.
-
B.
Mohanchoti
Mohanchoti is an island located within Lake Pichola in Udaipur, Rajasthan, India.
-
C.
Baragadhi
Baragadhi is a local administrative area and settlement located within Madhesh Province in southeastern Nepal.
-
D.
Mahagadhimai
Mahagadhimai is a municipality in Nepal known for its religious significance and the famous Gadhimai temple and festival.
-
E.
Majangir
Majangir is an ethnic group of southwestern Ethiopia known for speaking the Majang language, part of the Surmic branch of the Nilo-Saharan language family.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e82ec08190873186ff51e89d86 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.