Triple
T22641772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratlam district |
E558846
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Malwi |
—
|
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: Malwi | Statement: [Ratlam district, languageUsed, Malwi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malwi Context triple: [Ratlam district, languageUsed, Malwi]
-
A.
Malwi
chosen
Malwi is an Indo-Aryan language spoken primarily in the Malwa region of the Indian state of Madhya Pradesh.
-
B.
Maroli
Maroli is the namesake of the Italian alpine mountain hut Rifugio Oberto-Maroli, likely commemorating a person associated with its history or founding.
-
C.
Mālavī
Mālavī is a character from Hindu tradition known primarily as the daughter of Savitrī.
-
D.
Mazilu
Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, and the arts.
-
E.
Maléku
Maléku are an Indigenous people of northern Costa Rica known for their distinct language, rich artistic traditions, and efforts to preserve their ancestral culture and rainforest homeland.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703489a48190bd97a7eb7a571b64 |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:04 p.m.