Triple
T4916371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pahari paintings |
E110359
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object |
Basohli
Basohli is a historic town in Jammu and Kashmir, India, renowned as the birthplace of the bold, vibrant Basohli school of Pahari miniature painting.
|
E478164
|
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: Basohli | Statement: [Pahari paintings, region, Basohli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basohli Context triple: [Pahari paintings, region, Basohli]
-
A.
Kasauli
Kasauli is a small, picturesque hill station in the Indian state of Himachal Pradesh, known for its colonial-era architecture, pine forests, and tranquil atmosphere.
-
B.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
-
C.
Nagaur
Nagaur is a historic city in Rajasthan, India, known for its medieval fort, cultural heritage, and role as an important center in the Marwar region.
-
D.
Kathiawar
Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
-
E.
Khajauli
Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
- 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: Basohli Triple: [Pahari paintings, region, Basohli]
Generated description
Basohli is a historic town in Jammu and Kashmir, India, renowned as the birthplace of the bold, vibrant Basohli school of Pahari miniature painting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Basohli Target entity description: Basohli is a historic town in Jammu and Kashmir, India, renowned as the birthplace of the bold, vibrant Basohli school of Pahari miniature painting.
-
A.
Kasauli
Kasauli is a small, picturesque hill station in the Indian state of Himachal Pradesh, known for its colonial-era architecture, pine forests, and tranquil atmosphere.
-
B.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
-
C.
Nagaur
Nagaur is a historic city in Rajasthan, India, known for its medieval fort, cultural heritage, and role as an important center in the Marwar region.
-
D.
Kathiawar
Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
-
E.
Khajauli
Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa559608190aa8d02b1547b8f97 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fee5f1c8190ba947811048c3db4 |
completed | March 21, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_69be7084a76c819098f96a90ec574771 |
completed | March 21, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be70f90d988190b3f27a1a6facb004 |
completed | March 21, 2026, 10:20 a.m. |
Created at: March 20, 2026, 1:29 p.m.