Triple
T22682446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assam Province (after administrative reorganization of Sylhet) |
E560515
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sibsagar District |
—
|
NE NERFINISHED |
How this triple was built (3 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: Sibsagar District | Statement: [Assam Province (after administrative reorganization of Sylhet), hasPart, Sibsagar District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sibsagar District Context triple: [Assam Province (after administrative reorganization of Sylhet), hasPart, Sibsagar District]
-
A.
Kamrup district
Kamrup district is an administrative district in the Indian state of Assam, historically part of the ancient Kamrup region and known for its cultural heritage and proximity to the state’s largest city, Guwahati.
-
B.
Bongaigaon district
Bongaigaon district is an administrative district in the Indian state of Assam, known for its mixed urban-rural character and the commercial hub of Bongaigaon town.
-
C.
Nagaon district
Nagaon district is an administrative district in the Indian state of Assam, known for encompassing much of the world-famous Kaziranga National Park, a UNESCO World Heritage Site renowned for its one-horned rhinoceroses.
-
D.
Morigaon district
Morigaon district is an administrative district in the state of Assam in northeastern India, known for its rich biodiversity and proximity to the Pobitora Wildlife Sanctuary, which hosts a high density of Indian one-horned rhinoceroses.
-
E.
Nalbari district
Nalbari district is an administrative district in the Indian state of Assam, known for its agrarian economy, cultural festivals, and proximity to the Brahmaputra River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sibsagar District Target entity description: Sibsagar District is an administrative district in the Indian state of Assam, historically significant for its Ahom-era monuments, temples, and cultural heritage centered around the town of Sivasagar.
-
A.
Kamrup district
Kamrup district is an administrative district in the Indian state of Assam, historically part of the ancient Kamrup region and known for its cultural heritage and proximity to the state’s largest city, Guwahati.
-
B.
Bongaigaon district
Bongaigaon district is an administrative district in the Indian state of Assam, known for its mixed urban-rural character and the commercial hub of Bongaigaon town.
-
C.
Nagaon district
Nagaon district is an administrative district in the Indian state of Assam, known for encompassing much of the world-famous Kaziranga National Park, a UNESCO World Heritage Site renowned for its one-horned rhinoceroses.
-
D.
Morigaon district
Morigaon district is an administrative district in the state of Assam in northeastern India, known for its rich biodiversity and proximity to the Pobitora Wildlife Sanctuary, which hosts a high density of Indian one-horned rhinoceroses.
-
E.
Nalbari district
Nalbari district is an administrative district in the Indian state of Assam, known for its agrarian economy, cultural festivals, and proximity to the Brahmaputra River.
- F. None of above. chosen
Provenance (2 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786113a881908f60285054d7ecfb |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:12 p.m.