Triple
T6620009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapti River |
E149648
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Bhainsdehi
Bhainsdehi is a town in central India known for its proximity to the Tapti River and its surrounding hilly, forested landscape.
|
E611396
|
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: Bhainsdehi | Statement: [Tapti River, passesNear, Bhainsdehi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhainsdehi Context triple: [Tapti River, passesNear, Bhainsdehi]
-
A.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
B.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
C.
Bijbehara
Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
-
D.
Dalsinghsarai
Dalsinghsarai is a town in the Indian state of Bihar known as a local commercial and transportation hub within the Samastipur region.
-
E.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
- 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: Bhainsdehi Triple: [Tapti River, passesNear, Bhainsdehi]
Generated description
Bhainsdehi is a town in central India known for its proximity to the Tapti River and its surrounding hilly, forested landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhainsdehi Target entity description: Bhainsdehi is a town in central India known for its proximity to the Tapti River and its surrounding hilly, forested landscape.
-
A.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
B.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
C.
Bijbehara
Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
-
D.
Dalsinghsarai
Dalsinghsarai is a town in the Indian state of Bihar known as a local commercial and transportation hub within the Samastipur region.
-
E.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af5ca97481909f8a7dc47249b4d3 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f78f667c81908c2de74009c8e073 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8453af88190b237c249bfbb4f8c |
completed | March 27, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f8d5630c8190913e8572a70b82c1 |
completed | March 27, 2026, 9:38 p.m. |
Created at: March 27, 2026, 1:58 p.m.