Triple
T13804252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azamgarh district |
E331719
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Mubarakpur
Mubarakpur is a town in Uttar Pradesh, India, known for its traditional handloom weaving and production of fine silk sarees.
|
E1080803
|
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: Mubarakpur | Statement: [Azamgarh district, containsSettlement, Mubarakpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mubarakpur Context triple: [Azamgarh district, containsSettlement, Mubarakpur]
-
A.
Zaidpur
Zaidpur is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and traditional crafts.
-
B.
Mominpura
Mominpura is a locality in Nagpur, Maharashtra, India, known as a densely populated residential and commercial area with a significant Muslim community.
-
C.
Akbarpur
Akbarpur is a town in the Indian state of Uttar Pradesh known as the birthplace of socialist leader Ram Manohar Lohia.
-
D.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
E.
Mahipalpur
Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
- 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: Mubarakpur Triple: [Azamgarh district, containsSettlement, Mubarakpur]
Generated description
Mubarakpur is a town in Uttar Pradesh, India, known for its traditional handloom weaving and production of fine silk sarees.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mubarakpur Target entity description: Mubarakpur is a town in Uttar Pradesh, India, known for its traditional handloom weaving and production of fine silk sarees.
-
A.
Zaidpur
Zaidpur is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and traditional crafts.
-
B.
Mominpura
Mominpura is a locality in Nagpur, Maharashtra, India, known as a densely populated residential and commercial area with a significant Muslim community.
-
C.
Akbarpur
Akbarpur is a town in the Indian state of Uttar Pradesh known as the birthplace of socialist leader Ram Manohar Lohia.
-
D.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
E.
Mahipalpur
Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08a3a1481908400e3e55bf38aac |
completed | May 7, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_69fcd288bd5881908f6a442201c5beea |
completed | May 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd3ad7be8819094fc71c9f44fb4cb |
completed | May 7, 2026, 6:02 p.m. |
Created at: April 9, 2026, 10:12 p.m.