Triple
T2460181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai Suburban Railway |
E54514
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Vashi
Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
|
E268120
|
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: Vashi | Statement: [Mumbai Suburban Railway, hasStation, Vashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vashi Context triple: [Mumbai Suburban Railway, hasStation, Vashi]
-
A.
Kharadi
Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
-
B.
Barvikha
Barvikha is an affluent suburban settlement west of Moscow, known for its luxury residences, elite dachas, and high-profile residents from Russia’s political and business elite.
-
C.
Yavatmal
Yavatmal is a city in the Indian state of Maharashtra, known as a regional center in the Vidarbha area with a predominantly agrarian economy.
-
D.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
-
E.
Alipurduar
Alipurduar is a town in northeastern West Bengal, India, known as a gateway to the Dooars region and several nearby wildlife sanctuaries and national parks.
- 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: Vashi Triple: [Mumbai Suburban Railway, hasStation, Vashi]
Generated description
Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vashi Target entity description: Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
-
A.
Kharadi
Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
-
B.
Barvikha
Barvikha is an affluent suburban settlement west of Moscow, known for its luxury residences, elite dachas, and high-profile residents from Russia’s political and business elite.
-
C.
Yavatmal
Yavatmal is a city in the Indian state of Maharashtra, known as a regional center in the Vidarbha area with a predominantly agrarian economy.
-
D.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
-
E.
Alipurduar
Alipurduar is a town in northeastern West Bengal, India, known as a gateway to the Dooars region and several nearby wildlife sanctuaries and national parks.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10ba66481909580e994b22fd406 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0cff4248190832f75ce36a357e2 |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef186935c81909301659a96e1a4e2 |
completed | March 9, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef8272668819084626e890a49e1b3 |
completed | March 9, 2026, 4:41 p.m. |
Created at: March 6, 2026, 9:44 p.m.