Triple
T23358604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yawal |
E593120
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Ahirani |
—
|
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: Ahirani | Statement: [Yawal, hasLanguage, Ahirani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahirani Context triple: [Yawal, hasLanguage, Ahirani]
-
A.
Ahirani
chosen
Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
-
B.
Sunayu
Sunayu is a popular sandy lakeside hot spring area on the shores of Lake Kussharo in Hokkaido, Japan, known for its natural footbaths and scenic views.
-
C.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
D.
Aruna
Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
-
E.
Shiri
Shiri is a landmark 1999 South Korean action thriller film widely credited with kickstarting the Korean New Wave and transforming the country’s modern commercial cinema.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a196b308190bfe9bb4b6e7ec363 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:29 p.m.