Triple
T9461644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prasuni |
E228159
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Wasi-weri |
E800957
|
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: Wasi-weri | Statement: [Prasuni, alternateName, Wasi-weri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wasi-weri Context triple: [Prasuni, alternateName, Wasi-weri]
-
A.
Wasi-wari
chosen
Wasi-wari, also known as Prasuni, is a lesser-known Indo-Aryan language spoken in parts of northern Pakistan.
-
B.
Vasi-weri
Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
-
C.
Warji
Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
-
D.
Werong
Werong is a small rural locality in New South Wales, Australia, situated near Mount Werong in the Central Tablelands region.
-
E.
Kulisusu
Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcc8b1881908aa6ee13ab195330 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ce37efc81908eee5dd709a574fb |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:52 p.m.