Triple
T16464283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patong Beach |
E399887
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Bangla Road |
E399145
|
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: Bangla Road | Statement: [Patong Beach, hasAttraction, Bangla Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangla Road Context triple: [Patong Beach, hasAttraction, Bangla Road]
-
A.
Bangla Road
chosen
Bangla Road is a famous entertainment and nightlife street in Patong, Phuket, known for its bars, clubs, and vibrant party atmosphere.
-
B.
Suranjan Das Road
Suranjan Das Road is a major arterial road in Bengaluru, India, known for linking key residential and commercial areas and serving as an important commuter route.
-
C.
Haringhata Road
Haringhata Road is a suburban railway station in West Bengal, India, that connects the surrounding area to Kolkata and other nearby towns.
-
D.
Chowringhee Road
Chowringhee Road is one of Kolkata’s principal thoroughfares, known for its historic buildings, commercial hubs, and proximity to major city landmarks.
-
E.
Sagar Road
Sagar Road is a major roadway in Hyderabad, India, that connects the LB Nagar area with other key parts of the city.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d83687081908450657e1da6f6af |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581a11e881908681f68c26ee6a05 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.