Triple
T4854446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purvanchal |
E108501
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Azamgarh
Azamgarh is a city in the Purvanchal region of eastern Uttar Pradesh, India, known as an important cultural and educational center.
|
E477965
|
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: Azamgarh | Statement: [Purvanchal, hasCity, Azamgarh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azamgarh Context triple: [Purvanchal, hasCity, Azamgarh]
-
A.
Jaunpur
Jaunpur is a historic city in the Indian state of Uttar Pradesh, known for its medieval architecture and cultural heritage.
-
B.
Ghazipur
Ghazipur is a city in the Indian state of Uttar Pradesh, known for its historical significance and as a regional hub in eastern Uttar Pradesh.
-
C.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
-
D.
Shahjahanpur
Shahjahanpur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known for its historical significance and regional commercial importance.
-
E.
Gorakhpur
Gorakhpur is a prominent city in northern India known as a regional commercial, transportation, and cultural hub near the border with Nepal.
- 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: Azamgarh Triple: [Purvanchal, hasCity, Azamgarh]
Generated description
Azamgarh is a city in the Purvanchal region of eastern Uttar Pradesh, India, known as an important cultural and educational center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azamgarh Target entity description: Azamgarh is a city in the Purvanchal region of eastern Uttar Pradesh, India, known as an important cultural and educational center.
-
A.
Jaunpur
Jaunpur is a historic city in the Indian state of Uttar Pradesh, known for its medieval architecture and cultural heritage.
-
B.
Ghazipur
Ghazipur is a city in the Indian state of Uttar Pradesh, known for its historical significance and as a regional hub in eastern Uttar Pradesh.
-
C.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
-
D.
Shahjahanpur
Shahjahanpur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known for its historical significance and regional commercial importance.
-
E.
Gorakhpur
Gorakhpur is a prominent city in northern India known as a regional commercial, transportation, and cultural hub near the border with Nepal.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3c9d7881908c04cef2cb7db745 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fac3fa0819085b7b732875a166b |
completed | March 21, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_69be7020b0608190a08e96296c62bec0 |
completed | March 21, 2026, 10:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be708602b481909e7ee3b1367b0239 |
completed | March 21, 2026, 10:18 a.m. |
Created at: March 20, 2026, 1:26 p.m.