Triple
T22321386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardhaman district |
E551794
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mangalkot
Mangalkot is a locality in the Indian state of West Bengal, known as an administrative and rural region within the Bardhaman area.
|
E1533533
|
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: Mangalkot | Statement: [Bardhaman district, contains, Mangalkot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangalkot Context triple: [Bardhaman district, contains, Mangalkot]
-
A.
Malkapur
Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
-
B.
Manjapra
Manjapra is a village in the Ernakulam district of Kerala, India, known for its agrarian landscape and traditional Kerala culture.
-
C.
Palsana
Palsana is a suburban area within the Surat metropolitan region in the Indian state of Gujarat, known for its growing residential and industrial development.
-
D.
Mauganj
Mauganj is a legislative assembly constituency in the Indian state of Madhya Pradesh.
-
E.
Kheralu
Kheralu is a town in the Mehsana region of Gujarat, India, known for its local markets and role as a small regional center for surrounding rural areas.
- 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: Mangalkot Triple: [Bardhaman district, contains, Mangalkot]
Generated description
Mangalkot is a locality in the Indian state of West Bengal, known as an administrative and rural region within the Bardhaman area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mangalkot Target entity description: Mangalkot is a locality in the Indian state of West Bengal, known as an administrative and rural region within the Bardhaman area.
-
A.
Malkapur
Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
-
B.
Manjapra
Manjapra is a village in the Ernakulam district of Kerala, India, known for its agrarian landscape and traditional Kerala culture.
-
C.
Palsana
Palsana is a suburban area within the Surat metropolitan region in the Indian state of Gujarat, known for its growing residential and industrial development.
-
D.
Mauganj
Mauganj is a legislative assembly constituency in the Indian state of Madhya Pradesh.
-
E.
Kheralu
Kheralu is a town in the Mehsana region of Gujarat, India, known for its local markets and role as a small regional center for surrounding rural areas.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15764d3a48190af79ce4642b7f563 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9a9acc8819095d10ebba06dadfc |
completed | May 18, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0aeaac3c68819086360eb760bb63b3 |
completed | May 18, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeb110f148190b50765853d6540ef |
completed | May 18, 2026, 10:33 a.m. |
Created at: April 16, 2026, 8:42 p.m.