Triple
T7016508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandanpura Mosque |
E162711
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
|
E642449
|
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: Chandanpura | Statement: [Chandanpura Mosque, locatedIn, Chandanpura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandanpura Context triple: [Chandanpura Mosque, locatedIn, Chandanpura]
-
A.
Karauli
Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
-
B.
Jagdishpur
Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
-
C.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
-
D.
Sohagpur
Sohagpur is a town in the Narmadapuram district of Madhya Pradesh, India, known as a local commercial center and access point to nearby forested and wildlife areas.
-
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: Chandanpura Triple: [Chandanpura Mosque, locatedIn, Chandanpura]
Generated description
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chandanpura Target entity description: Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
-
A.
Karauli
Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
-
B.
Jagdishpur
Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
-
C.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
-
D.
Sohagpur
Sohagpur is a town in the Narmadapuram district of Madhya Pradesh, India, known as a local commercial center and access point to nearby forested and wildlife areas.
-
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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d629fc81908854390ddf99b1db |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c80aae08190a388db9110fdebdf |
completed | March 28, 2026, 9:16 a.m. |
| NEDg | Description generation | batch_69c79e00778c819089491a23c5d9e92f |
completed | March 28, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79e5104d88190aa553672930f2e8c |
completed | March 28, 2026, 9:24 a.m. |
Created at: March 27, 2026, 2:34 p.m.