Triple
T1517599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dibrugarh |
E32155
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Tea City of India
Tea City of India is a popular nickname for Dibrugarh, a major tea-producing and commercial hub in the Indian state of Assam.
|
E172995
|
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: Tea City of India | Statement: [Dibrugarh, nickname, Tea City of India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tea City of India Context triple: [Dibrugarh, nickname, Tea City of India]
-
A.
Tea Gardens
Tea Gardens is a small coastal town in New South Wales, Australia, known for its riverside setting, beaches, and relaxed holiday atmosphere near Port Stephens.
-
B.
Keemun black tea
Keemun black tea is a renowned Chinese black tea variety prized for its rich, mellow flavor and aromatic, winey notes.
-
C.
Kashi
Kashi, also known as Varanasi, is one of Hinduism’s holiest and oldest continuously inhabited cities, revered as a major center of pilgrimage, ritual, and learning on the banks of the Ganges River.
-
D.
Fuze Tea
Fuze Tea is a ready-to-drink iced tea beverage brand owned and marketed globally by The Coca-Cola Company.
-
E.
Serindia
Serindia is a monumental archaeological and historical study by Aurel Stein on the art, culture, and ancient remains of the Central Asian regions along the Silk Road.
- 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: Tea City of India Triple: [Dibrugarh, nickname, Tea City of India]
Generated description
Tea City of India is a popular nickname for Dibrugarh, a major tea-producing and commercial hub in the Indian state of Assam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tea City of India Target entity description: Tea City of India is a popular nickname for Dibrugarh, a major tea-producing and commercial hub in the Indian state of Assam.
-
A.
Tea Gardens
Tea Gardens is a small coastal town in New South Wales, Australia, known for its riverside setting, beaches, and relaxed holiday atmosphere near Port Stephens.
-
B.
Keemun black tea
Keemun black tea is a renowned Chinese black tea variety prized for its rich, mellow flavor and aromatic, winey notes.
-
C.
Kashi
Kashi, also known as Varanasi, is one of Hinduism’s holiest and oldest continuously inhabited cities, revered as a major center of pilgrimage, ritual, and learning on the banks of the Ganges River.
-
D.
Fuze Tea
Fuze Tea is a ready-to-drink iced tea beverage brand owned and marketed globally by The Coca-Cola Company.
-
E.
Serindia
Serindia is a monumental archaeological and historical study by Aurel Stein on the art, culture, and ancient remains of the Central Asian regions along the Silk Road.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907eb7d108190bf26199744d510d7 |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2344f8d8819082e1ae5c980d0525 |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad23d86d088190bbea03d5d49bc009 |
completed | March 8, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2459c38c8190a8c166c2743a8936 |
completed | March 8, 2026, 7:25 a.m. |
Created at: March 4, 2026, 7:26 p.m.