Triple
T9196847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amravati district |
E220736
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Achalpur
Achalpur is a historic town in Maharashtra, India, known as one of the oldest cities in the Vidarbha region.
|
E784038
|
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: Achalpur | Statement: [Amravati district, hasTown, Achalpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Achalpur Context triple: [Amravati district, hasTown, Achalpur]
-
A.
Alirajpur
Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
-
B.
Mahipalpur
Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
-
C.
Rajpura
Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
-
D.
Bhopalgarh
Bhopalgarh is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the region.
-
E.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
- 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: Achalpur Triple: [Amravati district, hasTown, Achalpur]
Generated description
Achalpur is a historic town in Maharashtra, India, known as one of the oldest cities in the Vidarbha region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Achalpur Target entity description: Achalpur is a historic town in Maharashtra, India, known as one of the oldest cities in the Vidarbha region.
-
A.
Alirajpur
Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
-
B.
Mahipalpur
Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
-
C.
Rajpura
Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
-
D.
Bhopalgarh
Bhopalgarh is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the region.
-
E.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87d6460819097234b5dd3f749b4 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c3b1af48190bb03af15232c510d |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05cfb7058819080d80b7f28125199 |
completed | April 4, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05d91ad4c8190a45db7484b9f058a |
completed | April 4, 2026, 12:38 a.m. |
Created at: March 30, 2026, 7:25 p.m.