Triple
T16687785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secunderabad |
E405509
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Maredpally
Maredpally is a prominent residential and commercial neighborhood in Secunderabad, Telangana, known for its schools, eateries, and well-connected urban setting.
|
E1228651
|
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: Maredpally | Statement: [Secunderabad, hasNeighbourhood, Maredpally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maredpally Context triple: [Secunderabad, hasNeighbourhood, Maredpally]
-
A.
Laknepalli
Laknepalli is a village in India best known as the birthplace of former Prime Minister P. V. Narasimha Rao.
-
B.
Nandipet
Nandipet is a village located in the Nizamabad district of the Indian state of Telangana.
-
C.
Nandyal
Nandyal is a city in the Indian state of Andhra Pradesh, known as a commercial and administrative center in the Rayalaseema region.
-
D.
Anakapalli
Anakapalli is a town and municipality in the Indian state of Andhra Pradesh, known historically as a major jaggery trading center and now part of the urban area of Visakhapatnam.
-
E.
Tadipatri
Tadipatri is a town in the Anantapur district of Andhra Pradesh, India, known for its granite industries and historic temples.
- 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: Maredpally Triple: [Secunderabad, hasNeighbourhood, Maredpally]
Generated description
Maredpally is a prominent residential and commercial neighborhood in Secunderabad, Telangana, known for its schools, eateries, and well-connected urban setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maredpally Target entity description: Maredpally is a prominent residential and commercial neighborhood in Secunderabad, Telangana, known for its schools, eateries, and well-connected urban setting.
-
A.
Laknepalli
Laknepalli is a village in India best known as the birthplace of former Prime Minister P. V. Narasimha Rao.
-
B.
Nandipet
Nandipet is a village located in the Nizamabad district of the Indian state of Telangana.
-
C.
Nandyal
Nandyal is a city in the Indian state of Andhra Pradesh, known as a commercial and administrative center in the Rayalaseema region.
-
D.
Anakapalli
Anakapalli is a town and municipality in the Indian state of Andhra Pradesh, known historically as a major jaggery trading center and now part of the urban area of Visakhapatnam.
-
E.
Tadipatri
Tadipatri is a town in the Anantapur district of Andhra Pradesh, India, known for its granite industries and historic temples.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea75df481909a7ebb9b2a9d0afd |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091966fbc81908cd1db230ddbb82b |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00920dd72c8190b30d4edd779e7029 |
completed | May 10, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0092e322d08190862ae42a28c9e5cf |
completed | May 10, 2026, 2:14 p.m. |
Created at: April 10, 2026, 5:19 a.m.