Triple
T15648228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banaskantha district |
E376236
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Bhabhar
Bhabhar is a town in the Banaskantha district of Gujarat, India, known as a local commercial and administrative center for surrounding rural areas.
|
E1169437
|
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: Bhabhar | Statement: [Banaskantha district, hasTown, Bhabhar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhabhar Context triple: [Banaskantha district, hasTown, Bhabhar]
-
A.
Kabrai
Kabrai is a town in Uttar Pradesh, India, known primarily for its stone mining and crushing industry.
-
B.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
C.
Rewa Plateau
The Rewa Plateau is a highland region in central India characterized by its elevated terrain, river valleys, and rich deposits of minerals and fertile soils.
-
D.
Bura-Pabir
Bura-Pabir is a major West Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
-
E.
Terai
Terai is a low-lying, fertile plains region at the foothills of the Himalayas, known for its rich agriculture and distinctive ecology across parts of northern India and Nepal.
- 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: Bhabhar Triple: [Banaskantha district, hasTown, Bhabhar]
Generated description
Bhabhar is a town in the Banaskantha district of Gujarat, India, known as a local commercial and administrative center for surrounding rural areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhabhar Target entity description: Bhabhar is a town in the Banaskantha district of Gujarat, India, known as a local commercial and administrative center for surrounding rural areas.
-
A.
Kabrai
Kabrai is a town in Uttar Pradesh, India, known primarily for its stone mining and crushing industry.
-
B.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
C.
Rewa Plateau
The Rewa Plateau is a highland region in central India characterized by its elevated terrain, river valleys, and rich deposits of minerals and fertile soils.
-
D.
Bura-Pabir
Bura-Pabir is a major West Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
-
E.
Terai
Terai is a low-lying, fertile plains region at the foothills of the Himalayas, known for its rich agriculture and distinctive ecology across parts of northern India and Nepal.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6883b5048190b64e4361bc89dd80 |
completed | May 9, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6911a76c819088c8a86d2106b6c6 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:15 a.m.