Triple
T10576054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digambara Jains |
E249613
|
entity |
| Predicate | pilgrimageSite |
P916
|
FINISHED |
| Object |
Kundalpur (Madhya Pradesh)
Kundalpur (Madhya Pradesh) is a prominent Jain pilgrimage town in central India, renowned for its ancient temples and religious significance to the Digambara Jain community.
|
E872368
|
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: Kundalpur (Madhya Pradesh) | Statement: [Digambara Jains, pilgrimageSite, Kundalpur (Madhya Pradesh)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kundalpur (Madhya Pradesh) Context triple: [Digambara Jains, pilgrimageSite, Kundalpur (Madhya Pradesh)]
-
A.
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
-
B.
Achalpur
Achalpur is a historic town in Maharashtra, India, known as one of the oldest cities in the Vidarbha region.
-
C.
Bhagwanpur
Bhagwanpur is a legislative assembly constituency in the Haridwar district of Uttarakhand, India.
-
D.
Tuljapur
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
-
E.
Dantapura
Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
- 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: Kundalpur (Madhya Pradesh) Triple: [Digambara Jains, pilgrimageSite, Kundalpur (Madhya Pradesh)]
Generated description
Kundalpur (Madhya Pradesh) is a prominent Jain pilgrimage town in central India, renowned for its ancient temples and religious significance to the Digambara Jain community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kundalpur (Madhya Pradesh) Target entity description: Kundalpur (Madhya Pradesh) is a prominent Jain pilgrimage town in central India, renowned for its ancient temples and religious significance to the Digambara Jain community.
-
A.
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
-
B.
Achalpur
Achalpur is a historic town in Maharashtra, India, known as one of the oldest cities in the Vidarbha region.
-
C.
Bhagwanpur
Bhagwanpur is a legislative assembly constituency in the Haridwar district of Uttarakhand, India.
-
D.
Tuljapur
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
-
E.
Dantapura
Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274b100c8190b477ef4cb745c269 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b65313481909328bd9f7f39bf53 |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94ca07da481908f2d546f8ddc9326 |
completed | April 10, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d94e8687bc819082b672a64bf85500 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 6, 2026, 12:38 p.m.