Triple
T7990836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serampore |
E186000
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Frederiksnagore
Frederiksnagore was the former Danish colonial name for the Indian town now known as Serampore in West Bengal.
|
E702871
|
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: Frederiksnagore | Statement: [Serampore, formerName, Frederiksnagore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frederiksnagore Context triple: [Serampore, formerName, Frederiksnagore]
-
A.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
-
B.
Kalingapatnam
Kalingapatnam is a historic coastal town in Andhra Pradesh, India, known for its former prominence as a maritime trading port of the ancient Kalinga region.
-
C.
Mahendranagar
Mahendranagar is a major city in far‑western Nepal, serving as an important commercial and administrative hub near the Indian border.
-
D.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
E.
Srikalahasti
Srikalahasti is a temple town in Andhra Pradesh, India, renowned for its ancient Shiva temple and strong religious significance.
- 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: Frederiksnagore Triple: [Serampore, formerName, Frederiksnagore]
Generated description
Frederiksnagore was the former Danish colonial name for the Indian town now known as Serampore in West Bengal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frederiksnagore Target entity description: Frederiksnagore was the former Danish colonial name for the Indian town now known as Serampore in West Bengal.
-
A.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
-
B.
Kalingapatnam
Kalingapatnam is a historic coastal town in Andhra Pradesh, India, known for its former prominence as a maritime trading port of the ancient Kalinga region.
-
C.
Mahendranagar
Mahendranagar is a major city in far‑western Nepal, serving as an important commercial and administrative hub near the Indian border.
-
D.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
E.
Srikalahasti
Srikalahasti is a temple town in Andhra Pradesh, India, renowned for its ancient Shiva temple and strong religious significance.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c6fc19c8190b98023e257c2f4f2 |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0f5c22881908044a178d670684c |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43f883081908768a7314409b622 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34c6cf6881909b28a0b6882b518d |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:16 p.m.