Triple
T19938510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saraikistan |
E479239
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Saraiki Wasaib |
—
|
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: Saraiki Wasaib | Statement: [Saraikistan, relatedTo, Saraiki Wasaib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraiki Wasaib Context triple: [Saraikistan, relatedTo, Saraiki Wasaib]
-
A.
Lasi Sindhi
Lasi Sindhi is a regional variety of the Sindhi language spoken primarily by the Lasi community in parts of Pakistan.
-
B.
Shahpuri Punjabi
Shahpuri Punjabi is a regional dialect of the Punjabi language spoken primarily in the western parts of the historical Punjab region, especially around the Sargodha and Shahpur areas.
-
C.
Bikhauti
Bikhauti is a traditional regional festival celebrated in the Garhwal area of Uttarakhand, India, marked by local religious rituals and community gatherings.
-
D.
Saraiki
chosen
Saraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
-
E.
Tanoli Hindko
Tanoli Hindko is a regional variety of the Hindko language traditionally spoken by members of the Tanoli community in parts of northern Pakistan.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a190ac08190b9dc7955c9764a71 |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.