Triple
T12306862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Airport Road |
E293374
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Marathahalli |
E980093
|
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: Marathahalli | Statement: [Old Airport Road, connectsTo, Marathahalli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marathahalli Context triple: [Old Airport Road, connectsTo, Marathahalli]
-
A.
Marathahalli
chosen
Marathahalli is a major residential and commercial suburb in eastern Bangalore, known for its connectivity, IT parks, and shopping areas.
-
B.
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.
-
C.
Gandipet
Gandipet is a locality on the outskirts of Hyderabad, India, best known for the nearby Osman Sagar (Gandipet Lake) and its popular lakeside recreational areas.
-
D.
Basavanagudi
Basavanagudi is one of Bangalore’s oldest residential and commercial neighborhoods, known for its historic temples, traditional eateries, and vibrant local markets.
-
E.
Dhanyawadi
Dhanyawadi was an ancient city that served as one of the earliest and most important royal centers of the Arakan (Rakhine) region in present-day western Myanmar.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f00695c8190b7365e4593631690 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b8cf0e8819088f5ee03495bbf61 |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:53 p.m.