Triple
T7470184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malda |
E176482
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object |
English Bazar
English Bazar, also known as Malda, is a major town and commercial hub in the Malda district of West Bengal, India.
|
E667426
|
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: English Bazar | Statement: [Malda, knownAs, English Bazar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: English Bazar Context triple: [Malda, knownAs, English Bazar]
-
A.
Bakshibazar
Bakshibazar is a historic neighborhood in Dhaka, Bangladesh, known for its educational institutions, dense urban setting, and proximity to key civic and commercial areas.
-
B.
Paltan Bazar
Paltan Bazar is a busy commercial and transportation hub in Guwahati, Assam, known for its markets, hotels, and proximity to the city’s main railway station.
-
C.
Kinari Bazaar
Kinari Bazaar is a famous traditional market in Old Delhi known for its ornate wedding accessories, decorative trimmings, and festive fabrics.
-
D.
Johari Bazaar
Johari Bazaar is a famous traditional market in Jaipur, India, renowned for its jewelry, gemstones, and vibrant Rajasthani handicrafts.
-
E.
Meena Bazaar
Meena Bazaar is a bustling traditional market area in Dubai known for its gold jewelry, textiles, and South Asian shops and eateries.
- 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: English Bazar Triple: [Malda, knownAs, English Bazar]
Generated description
English Bazar, also known as Malda, is a major town and commercial hub in the Malda district of West Bengal, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: English Bazar Target entity description: English Bazar, also known as Malda, is a major town and commercial hub in the Malda district of West Bengal, India.
-
A.
Bakshibazar
Bakshibazar is a historic neighborhood in Dhaka, Bangladesh, known for its educational institutions, dense urban setting, and proximity to key civic and commercial areas.
-
B.
Paltan Bazar
Paltan Bazar is a busy commercial and transportation hub in Guwahati, Assam, known for its markets, hotels, and proximity to the city’s main railway station.
-
C.
Kinari Bazaar
Kinari Bazaar is a famous traditional market in Old Delhi known for its ornate wedding accessories, decorative trimmings, and festive fabrics.
-
D.
Johari Bazaar
Johari Bazaar is a famous traditional market in Jaipur, India, renowned for its jewelry, gemstones, and vibrant Rajasthani handicrafts.
-
E.
Meena Bazaar
Meena Bazaar is a bustling traditional market area in Dubai known for its gold jewelry, textiles, and South Asian shops and eateries.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4145d608190bd93239f04f7da41 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8347b36388190989d2bcbe3f747bf |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c836cdb96481908189777a14edb9b4 |
completed | March 28, 2026, 8:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8380dc66c81909853a686f32cc725 |
completed | March 28, 2026, 8:20 p.m. |
Created at: March 27, 2026, 3:41 p.m.