Triple
T15057621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son River |
E379535
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Koilwar
Koilwar is a town in the Bhojpur district of Bihar, India, known for its historic rail-cum-road bridge over the Son River and its role as a regional transport hub.
|
E1136359
|
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: Koilwar | Statement: [Son River, nearbyCity, Koilwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koilwar Context triple: [Son River, nearbyCity, Koilwar]
-
A.
Barakar
Barakar is a town in the Asansol region of West Bengal, India, known for its proximity to major coal mining operations and its location near the Barakar River.
-
B.
Mohanchoti
Mohanchoti is an island located within Lake Pichola in Udaipur, Rajasthan, India.
-
C.
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.
-
D.
Banshiwala
Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
-
E.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
- 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: Koilwar Triple: [Son River, nearbyCity, Koilwar]
Generated description
Koilwar is a town in the Bhojpur district of Bihar, India, known for its historic rail-cum-road bridge over the Son River and its role as a regional transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koilwar Target entity description: Koilwar is a town in the Bhojpur district of Bihar, India, known for its historic rail-cum-road bridge over the Son River and its role as a regional transport hub.
-
A.
Barakar
Barakar is a town in the Asansol region of West Bengal, India, known for its proximity to major coal mining operations and its location near the Barakar River.
-
B.
Mohanchoti
Mohanchoti is an island located within Lake Pichola in Udaipur, Rajasthan, India.
-
C.
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.
-
D.
Banshiwala
Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
-
E.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda937f788190899d81bbb2084443 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae0fd7dc8190a10c8eb7542c3088 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feafcab944819095317d3058540b8b |
completed | May 9, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb038065c8190b60266644db64092 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 10, 2026, 3:01 a.m.