Triple
T21894434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah Abdul Aziz Dehlawi |
E540638
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dehlawi |
—
|
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: Dehlawi | Statement: [Shah Abdul Aziz Dehlawi, familyName, Dehlawi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dehlawi Context triple: [Shah Abdul Aziz Dehlawi, familyName, Dehlawi]
-
A.
Dehlavi
chosen
Dehlavi is a historical dialect of Western Hindi associated with the Delhi region and considered a precursor to modern Hindustani/Urdu.
-
B.
Khairabadi
Khairabadi is a South Asian surname most notably associated with the prominent Islamic scholar and poet Fazl-e-Haq Khairabadi and his descendants.
-
C.
Multani
Multani is a major dialect of the Saraiki language spoken primarily in the Multan region of Pakistan.
-
D.
Dakhni
Dakhni is a historical Indo-Aryan language variety that developed in the Deccan region of India, blending early Urdu/Hindavi with local languages and Persian-Arabic influences.
-
E.
Bareli
Bareli is a town in the Raisen district of the central Indian state of Madhya Pradesh, known as a local commercial and administrative center.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc539708190a42f202e7404a213 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.