Triple
T14244192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubilee Hills |
E353088
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Banjara Hills
Banjara Hills is an upscale commercial and residential neighborhood in Hyderabad, India, known for its luxury hotels, shopping areas, and affluent residences.
|
E1123309
|
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: Banjara Hills | Statement: [Jubilee Hills, adjacentTo, Banjara Hills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banjara Hills Context triple: [Jubilee Hills, adjacentTo, Banjara Hills]
-
A.
Kalyani Nagar
Kalyani Nagar is an upscale residential and commercial neighborhood in Pune, India, known for its IT parks, shopping malls, and vibrant dining and nightlife options.
-
B.
Mukherjee Nagar
Mukherjee Nagar is a prominent residential and commercial neighborhood in Delhi, India, best known as a major hub for civil services exam coaching centers and student accommodation.
-
C.
Indira Nagar
Indira Nagar is a legislative assembly constituency in the Union Territory of Puducherry, India.
-
D.
Indira Nagar
Indira Nagar is a residential and commercial neighborhood in Chennai, India, known for its urban amenities and proximity to the Adyar area.
-
E.
Simi Town
Simi Town is the main urban center and administrative hub of the Simi area.
- 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: Banjara Hills Triple: [Jubilee Hills, adjacentTo, Banjara Hills]
Generated description
Banjara Hills is an upscale commercial and residential neighborhood in Hyderabad, India, known for its luxury hotels, shopping areas, and affluent residences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banjara Hills Target entity description: Banjara Hills is an upscale commercial and residential neighborhood in Hyderabad, India, known for its luxury hotels, shopping areas, and affluent residences.
-
A.
Kalyani Nagar
Kalyani Nagar is an upscale residential and commercial neighborhood in Pune, India, known for its IT parks, shopping malls, and vibrant dining and nightlife options.
-
B.
Mukherjee Nagar
Mukherjee Nagar is a prominent residential and commercial neighborhood in Delhi, India, best known as a major hub for civil services exam coaching centers and student accommodation.
-
C.
Indira Nagar
Indira Nagar is a legislative assembly constituency in the Union Territory of Puducherry, India.
-
D.
Indira Nagar
Indira Nagar is a residential and commercial neighborhood in Chennai, India, known for its urban amenities and proximity to the Adyar area.
-
E.
Simi Town
Simi Town is the main urban center and administrative hub of the Simi area.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e68118819082448393cc141d96 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe664fe96081908ca0923791bd212b |
completed | May 8, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66be64808190bab35f07d556d446 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:08 a.m.