Triple
T14588220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jayanagar |
E342372
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Basavanagudi |
E340613
|
NE FINISHED |
How this triple was built (2 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: Basavanagudi | Statement: [Jayanagar, adjacentTo, Basavanagudi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basavanagudi Context triple: [Jayanagar, adjacentTo, Basavanagudi]
-
A.
Basavanagudi
chosen
Basavanagudi is one of Bangalore’s oldest residential and commercial neighborhoods, known for its historic temples, traditional eateries, and vibrant local markets.
-
B.
Jayanagar
Jayanagar is a prominent residential and commercial neighborhood in south Bengaluru, India, known for its planned layout, markets, and proximity to major city landmarks.
-
C.
Marathahalli
Marathahalli is a major residential and commercial suburb in eastern Bangalore, known for its connectivity, IT parks, and shopping areas.
-
D.
Kadugodi
Kadugodi is a suburban neighborhood in the eastern part of Bengaluru, India, known for its residential areas, markets, and proximity to major IT and industrial hubs.
-
E.
Colaba
Colaba is a prominent coastal neighborhood in South Mumbai known for its historic architecture, bustling markets, and major landmarks along the Arabian Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4237d88819097f3f9a40f5be152 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c1768881909eebb0dae15ac964 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.