Triple
T20821690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bareilly district |
E512589
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Nawabganj
Nawabganj is a town and municipal area in Uttar Pradesh, India, known as one of the urban centers within Bareilly district.
|
E1453361
|
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: [Bareilly district, hasCity, Nawabganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nawabganj Context triple: [Bareilly district, hasCity, Nawabganj]
-
A.
Nawabganj
Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
-
B.
Sultanganj
Sultanganj is a town in Bihar, India, known as a significant Hindu pilgrimage site on the banks of the Ganges River.
-
C.
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.
-
D.
Shahganj
Shahganj is a town in the Jaunpur district of Uttar Pradesh, India, known as a local commercial and transportation hub for the surrounding rural region.
-
E.
Shahganj
Shahganj is a locality within the Agra metropolitan region in the Indian state of Uttar Pradesh, known primarily as a residential and commercial neighborhood of the historic city.
- 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: [Bareilly district, hasCity, Nawabganj]
Generated description
Nawabganj is a town and municipal area in Uttar Pradesh, India, known as one of the urban centers within Bareilly district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nawabganj Target entity description: Nawabganj is a town and municipal area in Uttar Pradesh, India, known as one of the urban centers within Bareilly district.
-
A.
Nawabganj
Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
-
B.
Sultanganj
Sultanganj is a town in Bihar, India, known as a significant Hindu pilgrimage site on the banks of the Ganges River.
-
C.
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.
-
D.
Shahganj
Shahganj is a town in the Jaunpur district of Uttar Pradesh, India, known as a local commercial and transportation hub for the surrounding rural region.
-
E.
Shahganj
Shahganj is a locality within the Agra metropolitan region in the Indian state of Uttar Pradesh, known primarily as a residential and commercial neighborhood of the historic city.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f7a1548190b6ef3f1cfad37c1c |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090af94c088190bdb8ac7112b3984d |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bd0783881909424d3f83c243080 |
completed | May 17, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090c57aef48190978b5fe94dd4feab |
completed | May 17, 2026, 12:31 a.m. |
Created at: April 16, 2026, 12:41 p.m.