Triple
T12556534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saswad |
E295230
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
Jejuri
Jejuri is a temple town in Maharashtra, India, renowned for its hilltop Khandoba temple and vibrant religious festivals.
|
E990813
|
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: Jejuri | Statement: [Saswad, nearbyTown, Jejuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jejuri Context triple: [Saswad, nearbyTown, Jejuri]
-
A.
Judwaa
Judwaa is a 1997 Hindi-language Bollywood action-comedy film directed by David Dhawan, starring Salman Khan in a dual role alongside Karisma Kapoor and Rambha.
-
B.
Talvar
Talvar is a 2015 Indian crime drama film, directed by Meghna Gulzar and written by Vishal Bhardwaj, that presents a Rashomon-style retelling of the 2008 Noida double murder case.
-
C.
Hanna
"Hanna" is a 2011 action thriller film about a teenage girl trained as an assassin, known for its stylized direction and electronic score by The Chemical Brothers.
-
D.
Hanna
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
-
E.
Haasil
Haasil is a 2003 Indian Hindi-language crime drama film, best known for its intense portrayal of student politics and for featuring a critically acclaimed performance by Irrfan Khan.
- 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: Jejuri Triple: [Saswad, nearbyTown, Jejuri]
Generated description
Jejuri is a temple town in Maharashtra, India, renowned for its hilltop Khandoba temple and vibrant religious festivals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jejuri Target entity description: Jejuri is a temple town in Maharashtra, India, renowned for its hilltop Khandoba temple and vibrant religious festivals.
-
A.
Judwaa
Judwaa is a 1997 Hindi-language Bollywood action-comedy film directed by David Dhawan, starring Salman Khan in a dual role alongside Karisma Kapoor and Rambha.
-
B.
Talvar
Talvar is a 2015 Indian crime drama film, directed by Meghna Gulzar and written by Vishal Bhardwaj, that presents a Rashomon-style retelling of the 2008 Noida double murder case.
-
C.
Hanna
"Hanna" is a 2011 action thriller film about a teenage girl trained as an assassin, known for its stylized direction and electronic score by The Chemical Brothers.
-
D.
Hanna
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
-
E.
Haasil
Haasil is a 2003 Indian Hindi-language crime drama film, best known for its intense portrayal of student politics and for featuring a critically acclaimed performance by Irrfan Khan.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95490d2708190857f0cb9b8dd6a30 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655895c9c819082f41e79906567c6 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6599e89708190bc1d38e9702d7626 |
completed | May 2, 2026, 8:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65a414118819095049600f1ad6d63 |
completed | May 2, 2026, 8:10 p.m. |
Created at: April 8, 2026, 11:47 p.m.