Triple
T14150270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kondapur |
E350659
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object |
Kothaguda
Kothaguda is a locality in Hyderabad, Telangana, known for its proximity to major IT hubs, residential complexes, and commercial developments.
|
E350659
|
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: Kothaguda | Statement: [Kondapur, nearbyArea, Kothaguda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kothaguda Context triple: [Kondapur, nearbyArea, Kothaguda]
-
A.
Gachibowli
Gachibowli is a major IT and residential hub in Hyderabad, India, known for its technology parks, corporate offices, and educational institutions.
-
B.
Gandipet
Gandipet is a locality on the outskirts of Hyderabad, India, best known for the nearby Osman Sagar (Gandipet Lake) and its popular lakeside recreational areas.
-
C.
Kondapur
Kondapur is a rapidly developing residential and commercial suburb in Hyderabad, India, known for its proximity to major IT hubs and tech parks.
-
D.
Siddipet
Siddipet is a prominent town in the Indian state of Telangana, known as an important regional center for administration, trade, and education.
-
E.
Khammam
Khammam is a city in the Indian state of Telangana known for its historical forts, temples, and proximity to the Munneru 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: Kothaguda Triple: [Kondapur, nearbyArea, Kothaguda]
Generated description
Kothaguda is a locality in Hyderabad, Telangana, known for its proximity to major IT hubs, residential complexes, and commercial developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kothaguda Target entity description: Kothaguda is a locality in Hyderabad, Telangana, known for its proximity to major IT hubs, residential complexes, and commercial developments.
-
A.
Gachibowli
Gachibowli is a major IT and residential hub in Hyderabad, India, known for its technology parks, corporate offices, and educational institutions.
-
B.
Gandipet
Gandipet is a locality on the outskirts of Hyderabad, India, best known for the nearby Osman Sagar (Gandipet Lake) and its popular lakeside recreational areas.
-
C.
Kondapur
chosen
Kondapur is a rapidly developing residential and commercial suburb in Hyderabad, India, known for its proximity to major IT hubs and tech parks.
-
D.
Siddipet
Siddipet is a prominent town in the Indian state of Telangana, known as an important regional center for administration, trade, and education.
-
E.
Khammam
Khammam is a city in the Indian state of Telangana known for its historical forts, temples, and proximity to the Munneru River.
- F. None of above.
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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e86820819099d6e3d3d4229f0d |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fd0038412881909bd164a7188654f2 |
completed | May 7, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd00a72a708190acf10aa0fc1d3e52 |
completed | May 7, 2026, 9:14 p.m. |
Created at: April 10, 2026, 12:56 a.m.