Triple
T13168287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udham Singh Nagar |
E312909
|
entity |
| Predicate | headquarters |
P62
|
FINISHED |
| Object |
Rudrapur
Rudrapur is a rapidly developing industrial and commercial city in the Udham Singh Nagar district of Uttarakhand, India.
|
E1026798
|
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: Rudrapur | Statement: [Udham Singh Nagar, headquarters, Rudrapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudrapur Context triple: [Udham Singh Nagar, headquarters, Rudrapur]
-
A.
Rudrapur
Rudrapur is a town in the Indian state of Uttar Pradesh, known as a local commercial and agricultural center in the region.
-
B.
Mukteshwar
Mukteshwar is a scenic hill town in Uttarakhand, India, known for its panoramic Himalayan views, fruit orchards, and tranquil forests.
-
C.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
D.
Ambarnath
Ambarnath is a suburban city in the Thane district of Maharashtra, India, known for its historic Shiva temple and its role as a residential and industrial hub near Mumbai.
-
E.
Uttarkashi
Uttarkashi is a town in the Indian state of Uttarakhand, known as a gateway to several Himalayan pilgrim sites and trekking routes along the upper Ganges.
- 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: Rudrapur Triple: [Udham Singh Nagar, headquarters, Rudrapur]
Generated description
Rudrapur is a rapidly developing industrial and commercial city in the Udham Singh Nagar district of Uttarakhand, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rudrapur Target entity description: Rudrapur is a rapidly developing industrial and commercial city in the Udham Singh Nagar district of Uttarakhand, India.
-
A.
Rudrapur
Rudrapur is a town in the Indian state of Uttar Pradesh, known as a local commercial and agricultural center in the region.
-
B.
Mukteshwar
Mukteshwar is a scenic hill town in Uttarakhand, India, known for its panoramic Himalayan views, fruit orchards, and tranquil forests.
-
C.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
D.
Ambarnath
Ambarnath is a suburban city in the Thane district of Maharashtra, India, known for its historic Shiva temple and its role as a residential and industrial hub near Mumbai.
-
E.
Uttarkashi
Uttarkashi is a town in the Indian state of Uttarakhand, known as a gateway to several Himalayan pilgrim sites and trekking routes along the upper Ganges.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2c317881908cc715c97d915f77 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5e22458819097dc8d6708df5284 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f84b24588190a2668205eb25fe51 |
completed | May 3, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f90f02148190a4599282c0249456 |
completed | May 3, 2026, 7:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.