Triple
T6449957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhule district |
E139836
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Shirpur
Shirpur is a town in the Dhule district of Maharashtra, India, known for its educational institutions and pioneering water conservation initiatives.
|
E594523
|
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: Shirpur | Statement: [Dhule district, hasTown, Shirpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirpur Context triple: [Dhule district, hasTown, Shirpur]
-
A.
Shajapur
Shajapur is a town and administrative center in central India known for being the headquarters of Shajapur district in the state of Madhya Pradesh.
-
B.
Sangamner
Sangamner is a town in the Ahmednagar district of Maharashtra, India, known as a commercial and educational hub in the northern part of the district.
-
C.
Kharadi
Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
-
D.
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
-
E.
Bharuch
Bharuch is an ancient port city in the Indian state of Gujarat, historically significant as a major trading hub on the banks of the Narmada River.
- 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: Shirpur Triple: [Dhule district, hasTown, Shirpur]
Generated description
Shirpur is a town in the Dhule district of Maharashtra, India, known for its educational institutions and pioneering water conservation initiatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shirpur Target entity description: Shirpur is a town in the Dhule district of Maharashtra, India, known for its educational institutions and pioneering water conservation initiatives.
-
A.
Shajapur
Shajapur is a town and administrative center in central India known for being the headquarters of Shajapur district in the state of Madhya Pradesh.
-
B.
Sangamner
Sangamner is a town in the Ahmednagar district of Maharashtra, India, known as a commercial and educational hub in the northern part of the district.
-
C.
Kharadi
Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
-
D.
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
-
E.
Bharuch
Bharuch is an ancient port city in the Indian state of Gujarat, historically significant as a major trading hub on the banks of the Narmada River.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b2c7bc81908c683ec22cad9628 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bd290c481909f543cc03eee98bf |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64dce99fc819089fbe8925dc52b7a |
completed | March 27, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64e5cd1b88190abcdc8af02991d1d |
completed | March 27, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:47 p.m.