Triple
T19254103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malwa region |
E481468
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Malvi |
—
|
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: Malvi | Statement: [Malwa region, language, Malvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvi Context triple: [Malwa region, language, Malvi]
-
A.
Malvi
chosen
Malvi is an Indo-Aryan language spoken primarily in the Malwa region of central India, especially in parts of Madhya Pradesh and Rajasthan.
-
B.
Kunes
Kunes is a small village in northern Norway, located within Lebesby Municipality in Troms og Finnmark county.
-
C.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
D.
Dalma
Dalma is an Argentine actress and the eldest daughter of legendary footballer Diego Maradona.
-
E.
Kuttu
Kuttu is a small inhabited coral island in the Mortlock Islands of Chuuk State, Micronesia, known for its traditional seafaring culture and remote Pacific setting.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3339648190a87d38ce42aff016 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.