Triple
T10606131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Versova Beach |
E275880
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Versova |
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 | Statement: [Versova Beach, locatedIn, Versova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versova Context triple: [Versova Beach, locatedIn, Versova]
-
A.
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.
-
B.
Malaya Nevka
Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
-
C.
Охта
Охта — это река на северо-западе России, протекающая через Санкт-Петербург и впадающая в Неву.
-
D.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
-
E.
Kholmsk
Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
- 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_69d9989a7aec8190bcf06a93da61647d |
completed | April 11, 2026, 12:40 a.m. |
Created at: April 8, 2026, 7:32 p.m.