Triple
T12310816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thoseghar Waterfalls |
E293472
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object |
Thoseghar Nalla
Thoseghar Nalla is a small river in Maharashtra, India, best known as the watercourse that forms the scenic Thoseghar Waterfalls near Satara.
|
E973558
|
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: Thoseghar Nalla | Statement: [Thoseghar Waterfalls, river, Thoseghar Nalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thoseghar Nalla Context triple: [Thoseghar Waterfalls, river, Thoseghar Nalla]
-
A.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
-
B.
Sohra
Sohra is a town in Meghalaya, India, famed for its exceptionally high rainfall and lush, dramatic landscapes.
-
C.
Gokak
Gokak is a town in the Indian state of Karnataka known for its historic textile industry and the scenic Gokak Falls on the Ghataprabha River.
-
D.
Aalwar
Aalwar is a 2007 Tamil-language action drama film starring Ajith Kumar, known for its themes of revenge and vigilantism.
-
E.
Naraina
Naraina is a locality in West Delhi, India, known for its mix of residential areas and industrial estates and its location along major city transport routes.
- 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: Thoseghar Nalla Triple: [Thoseghar Waterfalls, river, Thoseghar Nalla]
Generated description
Thoseghar Nalla is a small river in Maharashtra, India, best known as the watercourse that forms the scenic Thoseghar Waterfalls near Satara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thoseghar Nalla Target entity description: Thoseghar Nalla is a small river in Maharashtra, India, best known as the watercourse that forms the scenic Thoseghar Waterfalls near Satara.
-
A.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
-
B.
Sohra
Sohra is a town in Meghalaya, India, famed for its exceptionally high rainfall and lush, dramatic landscapes.
-
C.
Gokak
Gokak is a town in the Indian state of Karnataka known for its historic textile industry and the scenic Gokak Falls on the Ghataprabha River.
-
D.
Aalwar
Aalwar is a 2007 Tamil-language action drama film starring Ajith Kumar, known for its themes of revenge and vigilantism.
-
E.
Naraina
Naraina is a locality in West Delhi, India, known for its mix of residential areas and industrial estates and its location along major city transport routes.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f02c0508190b10c0627cdaaba76 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5d746c8190b5b0edfc4832bc6c |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62045b20c819083c755fbe99a9a7f |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.