Triple
T22458691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabi-Malayalam |
E555176
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Arwi |
—
|
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: Arwi | Statement: [Arabi-Malayalam, relatedTo, Arwi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arwi Context triple: [Arabi-Malayalam, relatedTo, Arwi]
-
A.
Arwi
chosen
Arwi is an Arabic-influenced written form of the Tamil language historically used by Sri Lankan Moors, especially for religious and literary purposes.
-
B.
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
C.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
D.
Aru
Aru is a scenic village and popular tourist destination in Jammu and Kashmir’s Anantnag district, known for its alpine meadows, trekking routes, and proximity to the Lidder River and Kolahoi Glacier.
-
E.
Aruimi
Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.