Triple
T3678840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patna |
E78060
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Azimabad
Azimabad is the former Mughal-era name of the Indian city now known as Patna, reflecting its historical significance under imperial rule.
|
E379530
|
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: Azimabad | Statement: [Patna, historicalName, Azimabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azimabad Context triple: [Patna, historicalName, Azimabad]
-
A.
Wazirabad
Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
-
B.
Shamshabad
Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
-
C.
Bhurban
Bhurban is a small, scenic hill resort in Pakistan’s Punjab province, known for its lush forests, cool climate, and popular hotels and golf course.
-
D.
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).
-
E.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
- 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: Azimabad Triple: [Patna, historicalName, Azimabad]
Generated description
Azimabad is the former Mughal-era name of the Indian city now known as Patna, reflecting its historical significance under imperial rule.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azimabad Target entity description: Azimabad is the former Mughal-era name of the Indian city now known as Patna, reflecting its historical significance under imperial rule.
-
A.
Wazirabad
Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
-
B.
Shamshabad
Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
-
C.
Bhurban
Bhurban is a small, scenic hill resort in Pakistan’s Punjab province, known for its lush forests, cool climate, and popular hotels and golf course.
-
D.
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).
-
E.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc46599188190a046eddb0d85c483 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a9c6f48190a44b3b2dab37268d |
completed | March 14, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69b4c4b6dfa48190aaa53e5d1677c0a1 |
completed | March 14, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c57d12408190baa63a3714c38dea |
completed | March 14, 2026, 2:18 a.m. |
Created at: March 8, 2026, 3:25 p.m.