Triple
T6262158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Force Academy Dundigal |
E140325
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Dundigal
Dundigal is a suburban area near Hyderabad in Telangana, India, known primarily for hosting the Indian Air Force Academy.
|
E580991
|
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: Dundigal | Statement: [Air Force Academy Dundigal, locatedIn, Dundigal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dundigal Context triple: [Air Force Academy Dundigal, locatedIn, Dundigal]
-
A.
Kondapur
Kondapur is a rapidly developing residential and commercial suburb in Hyderabad, India, known for its proximity to major IT hubs and tech parks.
-
B.
Bhadrachalam
Bhadrachalam is a temple town in Telangana, India, renowned for its major Sri Rama temple and its location along the banks of the Godavari River.
-
C.
Thorapalli
Thorapalli is a village in Tamil Nadu, India, best known as the birthplace of Indian statesman and last Governor-General of India, C. Rajagopalachari.
-
D.
Narayanavanam
Narayanavanam is a small town in the Tirupati district of Andhra Pradesh, India, known for its historic temples and religious significance.
-
E.
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.
- 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: Dundigal Triple: [Air Force Academy Dundigal, locatedIn, Dundigal]
Generated description
Dundigal is a suburban area near Hyderabad in Telangana, India, known primarily for hosting the Indian Air Force Academy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dundigal Target entity description: Dundigal is a suburban area near Hyderabad in Telangana, India, known primarily for hosting the Indian Air Force Academy.
-
A.
Kondapur
Kondapur is a rapidly developing residential and commercial suburb in Hyderabad, India, known for its proximity to major IT hubs and tech parks.
-
B.
Bhadrachalam
Bhadrachalam is a temple town in Telangana, India, renowned for its major Sri Rama temple and its location along the banks of the Godavari River.
-
C.
Thorapalli
Thorapalli is a village in Tamil Nadu, India, best known as the birthplace of Indian statesman and last Governor-General of India, C. Rajagopalachari.
-
D.
Narayanavanam
Narayanavanam is a small town in the Tirupati district of Andhra Pradesh, India, known for its historic temples and religious significance.
-
E.
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.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06386a7b48190b032edd12078c5bc |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2444a71b081908b7686034ce7e01b |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c2a5f01b0081908d056633942ef732 |
completed | March 24, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fb898c5c8190a1ded1fe8ab2bc10 |
completed | March 26, 2026, 9:25 a.m. |
Created at: March 22, 2026, 4:25 p.m.