Triple
T17817199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeb-un-Nissa Begum |
E444877
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Daulatabad |
—
|
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: Daulatabad | Statement: [Zeb-un-Nissa Begum, placeOfBirth, Daulatabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daulatabad Context triple: [Zeb-un-Nissa Begum, placeOfBirth, Daulatabad]
-
A.
Daulatabad Fort
Daulatabad Fort is a massive medieval hilltop fortress in Maharashtra, India, renowned for its formidable defenses, strategic location, and well-preserved architecture.
-
B.
Aurangabad
Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
-
C.
Shirpur
Shirpur is a town in the Dhule district of Maharashtra, India, known for its educational institutions and pioneering water conservation initiatives.
-
D.
Khuldabad
chosen
Khuldabad is a historic town in Maharashtra, India, renowned as the burial site of the Mughal emperor Aurangzeb and several prominent Sufi saints.
-
E.
Shajapur
Shajapur is a town and administrative center in central India known for being the headquarters of Shajapur district in the state of Madhya Pradesh.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48880457c81908214741d6cd7a1ee |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.