Triple
T10657265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamur River |
E251124
|
entity |
| Predicate | formsConfluenceAt |
P2416
|
FINISHED |
| Object |
Tribenighat
Tribenighat is a locality in eastern Nepal known as the confluence point of the Tamur River with other rivers.
|
E877826
|
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: Tribenighat | Statement: [Tamur River, formsConfluenceAt, Tribenighat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tribenighat Context triple: [Tamur River, formsConfluenceAt, Tribenighat]
-
A.
Kumarghat
Kumarghat is a town in the Indian state of Tripura, known as a local commercial and transport hub in the Unakoti district.
-
B.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
C.
Dharangaon
Dharangaon is a town in the Jalgaon district of Maharashtra, India, known for its agricultural surroundings and role as a local commercial center.
-
D.
Arughat
Arughat is a village in Nepal that serves as a common gateway and starting point for treks to the Manaslu region in the Himalayas.
-
E.
Mohanbari
Mohanbari is a locality in the Dibrugarh district of Assam, India, known primarily for hosting the Dibrugarh Airport.
- 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: Tribenighat Triple: [Tamur River, formsConfluenceAt, Tribenighat]
Generated description
Tribenighat is a locality in eastern Nepal known as the confluence point of the Tamur River with other rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tribenighat Target entity description: Tribenighat is a locality in eastern Nepal known as the confluence point of the Tamur River with other rivers.
-
A.
Kumarghat
Kumarghat is a town in the Indian state of Tripura, known as a local commercial and transport hub in the Unakoti district.
-
B.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
C.
Dharangaon
Dharangaon is a town in the Jalgaon district of Maharashtra, India, known for its agricultural surroundings and role as a local commercial center.
-
D.
Arughat
Arughat is a village in Nepal that serves as a common gateway and starting point for treks to the Manaslu region in the Himalayas.
-
E.
Mohanbari
Mohanbari is a locality in the Dibrugarh district of Assam, India, known primarily for hosting the Dibrugarh Airport.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e0157dbc81909ef7d61f65b2fd93 |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a7aa490819094c7eaf3fc5e2c43 |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97ef6d9a881909d688cb8c948f491 |
completed | April 10, 2026, 10:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97f700f188190808fcf2f14403980 |
completed | April 10, 2026, 10:53 p.m. |
Created at: April 8, 2026, 9:07 p.m.