Triple
T4614879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Railways |
E100843
|
entity |
| Predicate | firstPassengerTrainRoute |
P848
|
FINISHED |
| Object |
Mumbai to Thane
Mumbai to Thane was the route of India’s first passenger train, marking the beginning of railway transport in the country.
|
E168787
|
NE FINISHED |
How this triple was built (5 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: Mumbai to Thane | Statement: [Indian Railways, firstPassengerTrainRoute, Mumbai to Thane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mumbai to Thane Context triple: [Indian Railways, firstPassengerTrainRoute, Mumbai to Thane]
-
A.
Thane
Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
-
B.
Mumbai–Pune route
The Mumbai–Pune route is a major transport corridor in western India connecting the cities of Mumbai and Pune, known for passing through the scenic hill station region of Lonavala.
-
C.
Bhandup
Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
-
D.
Vikhroli
Vikhroli is a suburban neighborhood in Mumbai known for its residential areas, industrial estates, and proximity to major transport links.
-
E.
Mira-Bhayandar
Mira-Bhayandar is a rapidly growing suburban city in the Mumbai Metropolitan Region of Maharashtra, India, known for its residential townships and industrial areas.
- 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: Mumbai to Thane Triple: [Indian Railways, firstPassengerTrainRoute, Mumbai to Thane]
Generated description
Mumbai to Thane was the route of India’s first passenger train, marking the beginning of railway transport in the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mumbai to Thane Target entity description: Mumbai to Thane was the route of India’s first passenger train, marking the beginning of railway transport in the country.
-
A.
Thane
chosen
Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
-
B.
Mumbai–Pune route
The Mumbai–Pune route is a major transport corridor in western India connecting the cities of Mumbai and Pune, known for passing through the scenic hill station region of Lonavala.
-
C.
Bhandup
Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
-
D.
Vikhroli
Vikhroli is a suburban neighborhood in Mumbai known for its residential areas, industrial estates, and proximity to major transport links.
-
E.
Mira-Bhayandar
Mira-Bhayandar is a rapidly growing suburban city in the Mumbai Metropolitan Region of Maharashtra, India, known for its residential townships and industrial areas.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPassengerTrainRoute Context triple: [Indian Railways, firstPassengerTrainRoute, Mumbai to Thane]
-
A.
usesTrainNumber
Indicates that one entity operates, identifies, or references another entity by a specific train number.
-
B.
isBusiestPassengerRailLineIn
Indicates that a passenger rail line is the one with the highest level of use or traffic within a specified geographic area or system.
-
C.
railwayLineNumber
Indicates the identifying number assigned to a specific railway line within a rail network.
-
D.
railwayLine
chosen
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
E.
formerRailwayLine
Indicates that a railway line previously existed in the past but is no longer in operation or has been decommissioned.
- F. None of above.
Provenance (6 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59c3d9ec8190a50ef03627dc351d |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa8da23881909ba4a70e9697f260 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfc7b84108190af39c7780f702745 |
completed | March 21, 2026, 2:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfd3856b48190a44f49da5fde38f6 |
completed | March 21, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.