Triple
T2460175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai Suburban Railway |
E54514
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Kalyan
Kalyan is a major railway junction and suburban city in the Mumbai Metropolitan Region, serving as a key transit hub for long-distance and local trains in Maharashtra, India.
|
E268119
|
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: Kalyan | Statement: [Mumbai Suburban Railway, hasStation, Kalyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalyan Context triple: [Mumbai Suburban Railway, hasStation, Kalyan]
-
A.
Kalyani
Kalyani is a planned town in the Nadia district of West Bengal, India, known for its educational institutions, industries, and organized urban layout.
-
B.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
-
C.
Netaji Nagar
Netaji Nagar is a small coastal village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Dwarka
Dwarka is an ancient and sacred coastal city in western India, traditionally revered in Hinduism as the kingdom established and ruled by Lord Krishna.
-
E.
Samyabadi
Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
- 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: Kalyan Triple: [Mumbai Suburban Railway, hasStation, Kalyan]
Generated description
Kalyan is a major railway junction and suburban city in the Mumbai Metropolitan Region, serving as a key transit hub for long-distance and local trains in Maharashtra, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalyan Target entity description: Kalyan is a major railway junction and suburban city in the Mumbai Metropolitan Region, serving as a key transit hub for long-distance and local trains in Maharashtra, India.
-
A.
Kalyani
Kalyani is a planned town in the Nadia district of West Bengal, India, known for its educational institutions, industries, and organized urban layout.
-
B.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
-
C.
Netaji Nagar
Netaji Nagar is a small coastal village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Dwarka
Dwarka is an ancient and sacred coastal city in western India, traditionally revered in Hinduism as the kingdom established and ruled by Lord Krishna.
-
E.
Samyabadi
Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
- 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.