Triple
T18837007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raisen district |
E460689
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Begumganj
Begumganj is a town and administrative subdivision in the Raisen district of Madhya Pradesh, India.
|
E1345536
|
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: Begumganj | Statement: [Raisen district, contains, Begumganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Begumganj Context triple: [Raisen district, contains, Begumganj]
-
A.
Nawabganj
Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
-
B.
Khanakul
Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
-
C.
Jamalpur
Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
-
D.
Agargaon
Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
-
E.
Mohiuddinnagar
Mohiuddinnagar is a town in the Indian state of Bihar, situated within the Samastipur 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: Begumganj Triple: [Raisen district, contains, Begumganj]
Generated description
Begumganj is a town and administrative subdivision in the Raisen district of Madhya Pradesh, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Begumganj Target entity description: Begumganj is a town and administrative subdivision in the Raisen district of Madhya Pradesh, India.
-
A.
Nawabganj
Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
-
B.
Khanakul
Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
-
C.
Jamalpur
Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
-
D.
Agargaon
Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
-
E.
Mohiuddinnagar
Mohiuddinnagar is a town in the Indian state of Bihar, situated within the Samastipur 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99e86388190957acaaab401b5cb |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05676b320481909bea3533d2c7fc27 |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a0568910c20819093ab2c08b79698cf |
completed | May 14, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056959a154819095fec2ee55e4734e |
completed | May 14, 2026, 6:19 a.m. |
Created at: April 10, 2026, 11:56 a.m.