Triple
T21202396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fariduddin Ganjshakar |
E522487
|
entity |
| Predicate | languageOfPoetry |
P29869
|
FINISHED |
| Object | Multani |
—
|
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: Multani | Statement: [Fariduddin Ganjshakar, languageOfPoetry, Multani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Multani Context triple: [Fariduddin Ganjshakar, languageOfPoetry, Multani]
-
A.
Multani
chosen
Multani is a major dialect of the Saraiki language spoken primarily in the Multan region of Pakistan.
-
B.
Lakhani
Lakhani is a town in the Banaskantha district of Gujarat, India, known as a local commercial and administrative center for the surrounding rural region.
-
C.
Makrani
The Makrani are an ethnic community primarily found in Pakistan’s Balochistan and coastal regions, known for their African ancestry and distinct cultural traditions.
-
D.
Pothwari
Pothwari is an Indo-Aryan language spoken primarily in Pakistan’s Potohar Plateau and surrounding regions, closely related to Punjabi and Hindko.
-
E.
Kanwal
Kanwal is a residential suburb on the Central Coast of New South Wales, Australia, known for its family-friendly community and proximity to local schools, parks, and medical facilities.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73431973c81908c8682d7808a9d13 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:19 p.m.