Triple
T764233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurangzeb |
E16138
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object |
Khuldabad
Khuldabad is a historic town in Maharashtra, India, renowned as the burial site of the Mughal emperor Aurangzeb and several prominent Sufi saints.
|
E101455
|
NE FINISHED |
How this triple was built (4 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: Khuldabad | Statement: [Aurangzeb, burialPlace, Khuldabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khuldabad Context triple: [Aurangzeb, burialPlace, Khuldabad]
-
A.
Faizabad
Faizabad is a historic city in the Indian state of Uttar Pradesh that once served as the capital of the former princely state of Oudh (Awadh).
-
B.
Nowshera
Nowshera is a city in northern Pakistan known as an important commercial and military center in the Khyber Pakhtunkhwa province.
-
C.
Shahjahanabad
Shahjahanabad, now known as Old Delhi, was the fortified Mughal imperial city founded by Emperor Shah Jahan and later served as the empire’s political and cultural center.
-
D.
Moradabad
Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
-
E.
Aligarh
Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Khuldabad Triple: [Aurangzeb, burialPlace, Khuldabad]
Generated description
Khuldabad is a historic town in Maharashtra, India, renowned as the burial site of the Mughal emperor Aurangzeb and several prominent Sufi saints.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khuldabad Target entity description: Khuldabad is a historic town in Maharashtra, India, renowned as the burial site of the Mughal emperor Aurangzeb and several prominent Sufi saints.
-
A.
Faizabad
Faizabad is a historic city in the Indian state of Uttar Pradesh that once served as the capital of the former princely state of Oudh (Awadh).
-
B.
Nowshera
Nowshera is a city in northern Pakistan known as an important commercial and military center in the Khyber Pakhtunkhwa province.
-
C.
Shahjahanabad
Shahjahanabad, now known as Old Delhi, was the fortified Mughal imperial city founded by Emperor Shah Jahan and later served as the empire’s political and cultural center.
-
D.
Moradabad
Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
-
E.
Aligarh
Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
- F. None of above. chosen
Provenance (5 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69c8c448190a036a04fd8fdd2c2 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3adf1d88190acec593f0aca1ec0 |
completed | March 4, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69a7a5aeb480819081fc1bebc67f8341 |
completed | March 4, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7a63d9ca88190b9389a80283f8356 |
completed | March 4, 2026, 3:25 a.m. |
Created at: March 1, 2026, 7:37 p.m.