Triple
T13661734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amethi district |
E327013
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Jagdishpur
Jagdishpur is a town in the Amethi district of Uttar Pradesh, India, known for its industrial area and historical significance in the region.
|
E1065141
|
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: Jagdishpur | Statement: [Amethi district, hasTown, Jagdishpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jagdishpur Context triple: [Amethi district, hasTown, Jagdishpur]
-
A.
Jagdishpur
Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
-
B.
Jaisinghpur
Jaisinghpur is a town located in the Sultanpur district of the Indian state of Uttar Pradesh.
-
C.
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.
-
D.
Bhagwanpur
Bhagwanpur is a legislative assembly constituency in the Haridwar district of Uttarakhand, India.
-
E.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
- 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: Jagdishpur Triple: [Amethi district, hasTown, Jagdishpur]
Generated description
Jagdishpur is a town in the Amethi district of Uttar Pradesh, India, known for its industrial area and historical significance in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jagdishpur Target entity description: Jagdishpur is a town in the Amethi district of Uttar Pradesh, India, known for its industrial area and historical significance in the region.
-
A.
Jagdishpur
Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
-
B.
Jaisinghpur
Jaisinghpur is a town located in the Sultanpur district of the Indian state of Uttar Pradesh.
-
C.
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.
-
D.
Bhagwanpur
Bhagwanpur is a legislative assembly constituency in the Haridwar district of Uttarakhand, India.
-
E.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d96bc4819083f8b26dfdb3590f |
completed | May 3, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69f7c18a032481909fc1e97883062170 |
completed | May 3, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c21231f48190ae6e2bdb2bbc0afd |
completed | May 3, 2026, 9:45 p.m. |
Created at: April 9, 2026, 9:52 p.m.