Triple
T14588048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosur Road |
E342368
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Bengaluru city centre |
E12663
|
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: Bengaluru city centre | Statement: [Hosur Road, connects, Bengaluru city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bengaluru city centre Context triple: [Hosur Road, connects, Bengaluru city centre]
-
A.
Bengaluru
chosen
Bengaluru is a major Indian metropolis known as the country’s leading technology and innovation hub, often called the “Silicon Valley of India.”
-
B.
Marathahalli
Marathahalli is a major residential and commercial suburb in eastern Bangalore, known for its connectivity, IT parks, and shopping areas.
-
C.
Bangalore Urban district
Bangalore Urban district is a highly urbanized administrative district in the Indian state of Karnataka that encompasses the city of Bengaluru, a major technology and economic hub.
-
D.
KSR Bengaluru
KSR Bengaluru is the main railway station and major transportation hub serving the city of Bengaluru, India.
-
E.
Basavanagudi
Basavanagudi is one of Bangalore’s oldest residential and commercial neighborhoods, known for its historic temples, traditional eateries, and vibrant local markets.
- 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_69fe6b3da8f08190b70b08532dfc22ba |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:24 a.m.