Triple
T2516493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai Metro Line 1 |
E55423
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Versova
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.
|
E275880
|
NE FINISHED |
How this triple was built (4 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: [Mumbai Metro Line 1, terminus, Versova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versova Context triple: [Mumbai Metro Line 1, terminus, Versova]
-
A.
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.
-
B.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
-
C.
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.
-
D.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
-
E.
Krasnopresnenskaya
Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Versova Triple: [Mumbai Metro Line 1, terminus, Versova]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Versova Target entity description: 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.
-
A.
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.
-
B.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
-
C.
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.
-
D.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
-
E.
Krasnopresnenskaya
Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
- F. None of above. chosen
Provenance (5 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20f8d0c8190bfdcb99a12f59d59 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b9aa5cc81908c2e09ce18f2e98e |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af508c28f48190afc4aa1bc3c9adf3 |
completed | March 9, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5155f85081908dd4a1859d0f7907 |
completed | March 9, 2026, 11:01 p.m. |
Created at: March 6, 2026, 9:46 p.m.