Triple
T10606130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Versova |
E275880
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Versova Beach |
E275880
|
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: Versova Beach | Statement: [Versova, hasBeach, Versova Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versova Beach Context triple: [Versova, hasBeach, Versova Beach]
-
A.
Devka Beach
Devka Beach is a popular seaside destination in the Daman district of India, known for its long sandy shoreline, amusement facilities, and relaxed coastal atmosphere.
-
B.
Riva-Bella beach
Riva-Bella beach is a popular Normandy seaside beach in northern France, known for its wide sandy shoreline and role in the D-Day landings during World War II.
-
C.
Liepāja beach
Liepāja beach is a long, sandy Baltic Sea shoreline in the Latvian city of Liepāja, known for its wide dunes, fine white sand, and popular seaside recreation.
-
D.
Versova
chosen
Versova is a coastal neighborhood in Mumbai, India, known for its beach, fishing village, and role as a key residential and commercial hub in the city.
-
E.
Pirita Beach
Pirita Beach is a popular sandy seaside beach in Tallinn, Estonia, known for its long shoreline, recreational facilities, and views across Tallinn Bay.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4a5df88190b993196ca7849a88 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98840243081908de4f6905bbfa4a0 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 7:32 p.m.