Triple
T13075874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barabanki district |
E329570
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Nawabganj
Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
|
E1027502
|
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: Nawabganj | Statement: [Barabanki district, hasTown, Nawabganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nawabganj Context triple: [Barabanki district, hasTown, Nawabganj]
-
A.
Sultanganj
Sultanganj is a town in Bihar, India, known as a significant Hindu pilgrimage site on the banks of the Ganges River.
-
B.
Jahangirpuri
Jahangirpuri is a residential and commercial neighborhood in North West Delhi, India, known for its dense urban character and connectivity via the Delhi Metro.
-
C.
Bahadurabad
Bahadurabad is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its bustling markets, eateries, and central location within the city.
-
D.
Mahidpur
Mahidpur is a historic town in the Indian state of Madhya Pradesh, known for its location in the Malwa region and its role in the Anglo-Maratha conflicts.
-
E.
Sheikhpura
Sheikhpura is a town and administrative center in the eastern Indian state of Bihar, known for its role as the headquarters of Sheikhpura district.
- 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: Nawabganj Triple: [Barabanki district, hasTown, Nawabganj]
Generated description
Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nawabganj Target entity description: Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
-
A.
Sultanganj
Sultanganj is a town in Bihar, India, known as a significant Hindu pilgrimage site on the banks of the Ganges River.
-
B.
Jahangirpuri
Jahangirpuri is a residential and commercial neighborhood in North West Delhi, India, known for its dense urban character and connectivity via the Delhi Metro.
-
C.
Bahadurabad
Bahadurabad is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its bustling markets, eateries, and central location within the city.
-
D.
Mahidpur
Mahidpur is a historic town in the Indian state of Madhya Pradesh, known for its location in the Malwa region and its role in the Anglo-Maratha conflicts.
-
E.
Sheikhpura
Sheikhpura is a town and administrative center in the eastern Indian state of Bihar, known for its role as the headquarters of Sheikhpura district.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98117209081908272021013df2222 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5cafd6c81908cb16bc0129ae74e |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f8df46508190b31ee0f5272df05f |
completed | May 3, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6fa323f288190909492ce610007a4 |
completed | May 3, 2026, 7:33 a.m. |
Created at: April 9, 2026, 9:01 p.m.