Triple
T6357968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bengal Forest Department |
E143038
|
entity |
| Predicate | oversees |
P46
|
FINISHED |
| Object |
Chapramari Wildlife Sanctuary
Chapramari Wildlife Sanctuary is a protected forest area in the Dooars region of West Bengal, India, known for its rich biodiversity and populations of elephants, gaurs, and various bird species.
|
E598230
|
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: Chapramari Wildlife Sanctuary | Statement: [West Bengal Forest Department, oversees, Chapramari Wildlife Sanctuary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chapramari Wildlife Sanctuary Context triple: [West Bengal Forest Department, oversees, Chapramari Wildlife Sanctuary]
-
A.
Sajnakhali Wildlife Sanctuary
Sajnakhali Wildlife Sanctuary is a protected area within the Indian Sundarbans, noted for its mangrove forests and rich birdlife, including numerous waterfowl and raptors.
-
B.
Mahananda Wildlife Sanctuary
Mahananda Wildlife Sanctuary is a protected forest area in West Bengal, India, known for its rich biodiversity and populations of elephants, leopards, and diverse bird species.
-
C.
Pobitora Wildlife Sanctuary
Pobitora Wildlife Sanctuary is a small but densely populated rhino reserve in Assam, India, renowned for its high concentration of Indian one-horned rhinoceroses and rich wetland biodiversity.
-
D.
Bethuadahari Wildlife Sanctuary
Bethuadahari Wildlife Sanctuary is a protected forest area in West Bengal, India, known for its conservation of deer, reptiles, and diverse bird species within a mixed deciduous and riverine ecosystem.
-
E.
Manjira Wildlife Sanctuary
Manjira Wildlife Sanctuary is a protected area in Telangana, India, known for its riverine wetlands that support diverse birdlife and serve as a crucial habitat for freshwater crocodiles and other aquatic fauna.
- 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: Chapramari Wildlife Sanctuary Triple: [West Bengal Forest Department, oversees, Chapramari Wildlife Sanctuary]
Generated description
Chapramari Wildlife Sanctuary is a protected forest area in the Dooars region of West Bengal, India, known for its rich biodiversity and populations of elephants, gaurs, and various bird species.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chapramari Wildlife Sanctuary Target entity description: Chapramari Wildlife Sanctuary is a protected forest area in the Dooars region of West Bengal, India, known for its rich biodiversity and populations of elephants, gaurs, and various bird species.
-
A.
Sajnakhali Wildlife Sanctuary
Sajnakhali Wildlife Sanctuary is a protected area within the Indian Sundarbans, noted for its mangrove forests and rich birdlife, including numerous waterfowl and raptors.
-
B.
Mahananda Wildlife Sanctuary
Mahananda Wildlife Sanctuary is a protected forest area in West Bengal, India, known for its rich biodiversity and populations of elephants, leopards, and diverse bird species.
-
C.
Pobitora Wildlife Sanctuary
Pobitora Wildlife Sanctuary is a small but densely populated rhino reserve in Assam, India, renowned for its high concentration of Indian one-horned rhinoceroses and rich wetland biodiversity.
-
D.
Bethuadahari Wildlife Sanctuary
Bethuadahari Wildlife Sanctuary is a protected forest area in West Bengal, India, known for its conservation of deer, reptiles, and diverse bird species within a mixed deciduous and riverine ecosystem.
-
E.
Manjira Wildlife Sanctuary
Manjira Wildlife Sanctuary is a protected area in Telangana, India, known for its riverine wetlands that support diverse birdlife and serve as a crucial habitat for freshwater crocodiles and other aquatic fauna.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f5bdd481909cf9db595ddb27df |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c669d97d348190bca19013edbf436c |
completed | March 27, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69c66b47196081909bc4deeab99a24cb |
completed | March 27, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c66b6cee18819092d89861d3421e0b |
completed | March 27, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:32 p.m.