Triple
T22172799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhavnagar Lok Sabha constituency |
E547963
|
entity |
| Predicate | previousMP |
P31607
|
FINISHED |
| Object |
Bhartiben Shyal
Bhartiben Shyal is an Indian politician who has served as a Member of Parliament representing the Bhavnagar constituency in Gujarat.
|
E1523504
|
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: Bhartiben Shyal | Statement: [Bhavnagar Lok Sabha constituency, previousMP, Bhartiben Shyal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhartiben Shyal Context triple: [Bhavnagar Lok Sabha constituency, previousMP, Bhartiben Shyal]
-
A.
Pramila
Pramila is a prominent female warrior character in the Bengali epic poem "Meghnad Badh Kavya," known for her valor and tragic role in the retelling of the Ramayana.
-
B.
Brinda
Brinda is a feminine given name, often considered a variant of Brenda, used in various cultures.
-
C.
Jivibai Kania
Jivibai Kania was the wife of H. J. Kania, the first Chief Justice of independent India.
-
D.
Janaki Mangal
Janaki Mangal is a devotional literary work in Awadhi by the poet-saint Tulsidas that narrates and celebrates the marriage of Lord Rama and Sita.
-
E.
Kamla
"Kamla" is a critically acclaimed Indian film featuring Deepti Naval that explores themes of human trafficking and exploitation.
- 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: Bhartiben Shyal Triple: [Bhavnagar Lok Sabha constituency, previousMP, Bhartiben Shyal]
Generated description
Bhartiben Shyal is an Indian politician who has served as a Member of Parliament representing the Bhavnagar constituency in Gujarat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhartiben Shyal Target entity description: Bhartiben Shyal is an Indian politician who has served as a Member of Parliament representing the Bhavnagar constituency in Gujarat.
-
A.
Pramila
Pramila is a prominent female warrior character in the Bengali epic poem "Meghnad Badh Kavya," known for her valor and tragic role in the retelling of the Ramayana.
-
B.
Brinda
Brinda is a feminine given name, often considered a variant of Brenda, used in various cultures.
-
C.
Jivibai Kania
Jivibai Kania was the wife of H. J. Kania, the first Chief Justice of independent India.
-
D.
Janaki Mangal
Janaki Mangal is a devotional literary work in Awadhi by the poet-saint Tulsidas that narrates and celebrates the marriage of Lord Rama and Sita.
-
E.
Kamla
"Kamla" is a critically acclaimed Indian film featuring Deepti Naval that explores themes of human trafficking and exploitation.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a69c12c8190a03177b5b740456a |
completed | April 28, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ec49bec8190b7bed9cdfe972b1a |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0aa0e747388190bdb8cdee2df225f4 |
completed | May 18, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa143007c819086cb5cc69654b7ce |
completed | May 18, 2026, 5:18 a.m. |
Created at: April 16, 2026, 8:34 p.m.