Triple
T10648474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medak district |
E250897
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Narsapur
Narsapur is a prominent town in Telangana, India, known as one of the major urban centers of Medak district.
|
E877177
|
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: Narsapur | Statement: [Medak district, hasMajorTown, Narsapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narsapur Context triple: [Medak district, hasMajorTown, Narsapur]
-
A.
Sullurpeta
Sullurpeta is a town in Andhra Pradesh, India, known primarily for its proximity to India’s premier spaceport, the Satish Dhawan Space Centre at Sriharikota.
-
B.
Punganur
Punganur is a town in the Chittoor district of Andhra Pradesh, India, known for its agricultural market and the indigenous Punganur dwarf cattle breed.
-
C.
Nagole
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
-
D.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
E.
Gadchiroli
Gadchiroli is a district in the eastern part of Maharashtra, India, known for its dense forests, tribal population, and Naxalite (Maoist) insurgency-affected areas.
- 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: Narsapur Triple: [Medak district, hasMajorTown, Narsapur]
Generated description
Narsapur is a prominent town in Telangana, India, known as one of the major urban centers of Medak district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narsapur Target entity description: Narsapur is a prominent town in Telangana, India, known as one of the major urban centers of Medak district.
-
A.
Sullurpeta
Sullurpeta is a town in Andhra Pradesh, India, known primarily for its proximity to India’s premier spaceport, the Satish Dhawan Space Centre at Sriharikota.
-
B.
Punganur
Punganur is a town in the Chittoor district of Andhra Pradesh, India, known for its agricultural market and the indigenous Punganur dwarf cattle breed.
-
C.
Nagole
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
-
D.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
E.
Gadchiroli
Gadchiroli is a district in the eastern part of Maharashtra, India, known for its dense forests, tribal population, and Naxalite (Maoist) insurgency-affected areas.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe3ea08819094a945ebb7fc4d3a |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a60fdd881908987f920a19bb41e |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e13913081908dd1fb60fa44db05 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:06 p.m.