Triple
T14875350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manikonda |
E349852
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Shaikpet
Shaikpet is a residential and commercial neighborhood in Hyderabad, India, known for its proximity to rapidly developing suburbs like Manikonda.
|
E1127744
|
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: Shaikpet | Statement: [Manikonda, near, Shaikpet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaikpet Context triple: [Manikonda, near, Shaikpet]
-
A.
Medak
Medak is a town in the Indian state of Telangana known for its historic fort and prominent churches, serving as an important local administrative and cultural center.
-
B.
Khairatabad
Khairatabad is a prominent commercial and administrative locality in central Hyderabad, India, known for its major government offices, busy junction, and proximity to key city landmarks.
-
C.
Shamirpet
Shamirpet is a suburban area and emerging residential and educational hub on the outskirts of Hyderabad, known for its lake, deer park, and proximity to major city infrastructure.
-
D.
Nandipet
Nandipet is a village located in the Nizamabad district of the Indian state of Telangana.
-
E.
Bhimnagar
Bhimnagar is a settlement in the Indian state of Bihar known for its proximity to the Kosi River and the major Kosi Barrage infrastructure.
- 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: Shaikpet Triple: [Manikonda, near, Shaikpet]
Generated description
Shaikpet is a residential and commercial neighborhood in Hyderabad, India, known for its proximity to rapidly developing suburbs like Manikonda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shaikpet Target entity description: Shaikpet is a residential and commercial neighborhood in Hyderabad, India, known for its proximity to rapidly developing suburbs like Manikonda.
-
A.
Medak
Medak is a town in the Indian state of Telangana known for its historic fort and prominent churches, serving as an important local administrative and cultural center.
-
B.
Khairatabad
Khairatabad is a prominent commercial and administrative locality in central Hyderabad, India, known for its major government offices, busy junction, and proximity to key city landmarks.
-
C.
Shamirpet
Shamirpet is a suburban area and emerging residential and educational hub on the outskirts of Hyderabad, known for its lake, deer park, and proximity to major city infrastructure.
-
D.
Nandipet
Nandipet is a village located in the Nizamabad district of the Indian state of Telangana.
-
E.
Bhimnagar
Bhimnagar is a settlement in the Indian state of Bihar known for its proximity to the Kosi River and the major Kosi Barrage infrastructure.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72aad76c8190b024651483d8f9ff |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe7b078d0c8190ba80b6e96975fd6c |
completed | May 9, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7b26519c8190ba81d997e11a999f |
completed | May 9, 2026, 12:09 a.m. |
Created at: April 10, 2026, 1:55 a.m.