Triple
T12771034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vraja Mandala |
E305246
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Bhadravan
Bhadravan is one of the twelve sacred forests of Vraja associated with the pastimes of Lord Krishna in Hindu tradition.
|
E1003347
|
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: Bhadravan | Statement: [Vraja Mandala, hasPart, Bhadravan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhadravan Context triple: [Vraja Mandala, hasPart, Bhadravan]
-
A.
Devanahalli
Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
-
B.
Kuppali
Kuppali is a village in the Indian state of Karnataka, best known as the birthplace and childhood home of the renowned Kannada writer Kuvempu (Kuppali Venkatappa Puttappa).
-
C.
Sindhanur
Sindhanur is a town in Karnataka, India, known primarily for its extensive paddy cultivation and role as a major rice-producing center.
-
D.
Nayandahalli
Nayandahalli is a locality in southwestern Bangalore known as a key junction and residential area along major transport routes.
-
E.
Nanjangud
Nanjangud is a historic temple town in the Mysore district of Karnataka, India, known for its ancient Srikanteshwara Temple and rich cultural heritage.
- 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: Bhadravan Triple: [Vraja Mandala, hasPart, Bhadravan]
Generated description
Bhadravan is one of the twelve sacred forests of Vraja associated with the pastimes of Lord Krishna in Hindu tradition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhadravan Target entity description: Bhadravan is one of the twelve sacred forests of Vraja associated with the pastimes of Lord Krishna in Hindu tradition.
-
A.
Devanahalli
Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
-
B.
Kuppali
Kuppali is a village in the Indian state of Karnataka, best known as the birthplace and childhood home of the renowned Kannada writer Kuvempu (Kuppali Venkatappa Puttappa).
-
C.
Sindhanur
Sindhanur is a town in Karnataka, India, known primarily for its extensive paddy cultivation and role as a major rice-producing center.
-
D.
Nayandahalli
Nayandahalli is a locality in southwestern Bangalore known as a key junction and residential area along major transport routes.
-
E.
Nanjangud
Nanjangud is a historic temple town in the Mysore district of Karnataka, India, known for its ancient Srikanteshwara Temple and rich cultural heritage.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f9ba848190b680d730b6a3b972 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dc63f48190bb68f9859e99e3b4 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68a92226881909600555332c2c370 |
completed | May 2, 2026, 11:36 p.m. |
Created at: April 9, 2026, 5:28 p.m.