Triple
T12161674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhunjhunu district |
E289722
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bagar
Bagar is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and rich Marwari cultural heritage.
|
E965149
|
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: Bagar | Statement: [Jhunjhunu district, contains, Bagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagar Context triple: [Jhunjhunu district, contains, Bagar]
-
A.
Bogangar
Bogangar is a coastal village in northern New South Wales, Australia, known for its proximity to Cabarita Beach and its relaxed seaside lifestyle.
-
B.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
C.
Bangar
Bangar is a coastal municipality in the province of La Union in the Philippines, known for its handwoven textiles and agricultural products.
-
D.
Buruanga
Buruanga is a coastal municipality in the province of Aklan in the Philippines, known for its scenic beaches and proximity to the tourist island of Boracay.
-
E.
Mahatao
Mahatao is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, scenic rolling hills, and rugged seascapes.
- 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: Bagar Triple: [Jhunjhunu district, contains, Bagar]
Generated description
Bagar is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and rich Marwari cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bagar Target entity description: Bagar is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and rich Marwari cultural heritage.
-
A.
Bogangar
Bogangar is a coastal village in northern New South Wales, Australia, known for its proximity to Cabarita Beach and its relaxed seaside lifestyle.
-
B.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
C.
Bangar
Bangar is a coastal municipality in the province of La Union in the Philippines, known for its handwoven textiles and agricultural products.
-
D.
Buruanga
Buruanga is a coastal municipality in the province of Aklan in the Philippines, known for its scenic beaches and proximity to the tourist island of Boracay.
-
E.
Mahatao
Mahatao is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, scenic rolling hills, and rugged seascapes.
- 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_69d915c395e48190a16e97fd29787a51 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a0baf0819094e90b7e92b979d4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f600b7385881909ddb86a1d39ff5d4 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:50 p.m.