Triple
T3935525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riasti |
E90900
|
entity |
| Predicate | hasAncestorLanguage |
P369
|
FINISHED |
| Object | Saraiki language |
E14560
|
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: Saraiki language | Statement: [Riasti, hasAncestorLanguage, Saraiki language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraiki language Context triple: [Riasti, hasAncestorLanguage, Saraiki language]
-
A.
Saraiki
chosen
Saraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
-
B.
Khowar
Khowar is an Indo-Aryan language primarily spoken in the Chitral region of Pakistan and parts of neighboring areas, known for its rich oral tradition and distinct phonology.
-
C.
Kohistani languages
The Kohistani languages are a group of closely related Indo-Aryan languages spoken primarily in the mountainous Kohistan and surrounding regions of northern Pakistan.
-
D.
Mirpuri
Mirpuri is a major dialect of the Lahnda (Western Punjabi) language, primarily spoken in the Mirpur region of Azad Kashmir and among its diaspora communities.
-
E.
Urdu language
Urdu is a major South Asian language, written in a Perso-Arabic script and widely used in Pakistan and parts of India in literature, media, and everyday communication.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcd29148190a98e4549c9ed8888 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53ff373c081908e512ba2e65fc774 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:23 p.m.