Triple
T12164332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaisamand Lake |
E289790
|
entity |
| Predicate | largestIsland |
P756
|
FINISHED |
| Object |
Baba ka Magra
Baba ka Magra is the largest island situated within Jaisamand Lake in Rajasthan, India.
|
E966578
|
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: Baba ka Magra | Statement: [Jaisamand Lake, largestIsland, Baba ka Magra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baba ka Magra Context triple: [Jaisamand Lake, largestIsland, Baba ka Magra]
-
A.
Maggu
Maggu is a character from the Indian comic series "Chacha Chaudhary," known as one of the recurring goons who often clash with the protagonists.
-
B.
Rawla Mandi
Rawla Mandi is a town in the Sri Ganganagar region of Rajasthan, India, known primarily for its agricultural markets and surrounding irrigated farmlands.
-
C.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
D.
Goynar Baksho
Goynar Baksho is a Bengali film directed by Aparna Sen that blends dark comedy and social commentary to explore the changing roles of women across generations in a traditional family.
-
E.
Masi Magam
Masi Magam is a Hindu festival, particularly prominent in Tamil Nadu, marked by sacred river and sea baths and special temple rituals for deities taken out in procession.
- 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: Baba ka Magra Triple: [Jaisamand Lake, largestIsland, Baba ka Magra]
Generated description
Baba ka Magra is the largest island situated within Jaisamand Lake in Rajasthan, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baba ka Magra Target entity description: Baba ka Magra is the largest island situated within Jaisamand Lake in Rajasthan, India.
-
A.
Maggu
Maggu is a character from the Indian comic series "Chacha Chaudhary," known as one of the recurring goons who often clash with the protagonists.
-
B.
Rawla Mandi
Rawla Mandi is a town in the Sri Ganganagar region of Rajasthan, India, known primarily for its agricultural markets and surrounding irrigated farmlands.
-
C.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
D.
Goynar Baksho
Goynar Baksho is a Bengali film directed by Aparna Sen that blends dark comedy and social commentary to explore the changing roles of women across generations in a traditional family.
-
E.
Masi Magam
Masi Magam is a Hindu festival, particularly prominent in Tamil Nadu, marked by sacred river and sea baths and special temple rituals for deities taken out in procession.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c498a081908389598d0c247505 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a2716081909620a9d11cfcc2d8 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6017f89d88190b766af7828794d87 |
completed | May 2, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60232d89881909f254da6deb7f321 |
completed | May 2, 2026, 1:54 p.m. |
Created at: April 8, 2026, 9:50 p.m.