Triple
T17378131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agra railway division |
E422493
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Agra–Etawah section |
—
|
NE NERFINISHED |
How this triple was built (3 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: Agra–Etawah section | Statement: [Agra railway division, hasLine, Agra–Etawah section]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agra–Etawah section Context triple: [Agra railway division, hasLine, Agra–Etawah section]
-
A.
Agra–Tundla section
The Agra–Tundla section is a key railway line in northern India that connects the historic city of Agra with the junction town of Tundla, forming part of an important route on the Indian Railways network.
-
B.
Agra–Mathura section
The Agra–Mathura section is a key railway line in northern India that connects the historic cities of Agra and Mathura and forms part of important regional and long-distance rail routes.
-
C.
Jhansi–Gwalior–Agra section
The Jhansi–Gwalior–Agra section is a key railway corridor in northern India that connects the historic cities of Jhansi, Gwalior, and Agra and forms part of an important route for both passenger and freight traffic.
-
D.
Meerut–Muzaffarnagar–Saharanpur section
The Meerut–Muzaffarnagar–Saharanpur section is a key railway corridor in northern India that connects major cities in western Uttar Pradesh and forms part of important regional and long-distance routes.
-
E.
Jabalpur–Itarsi section
The Jabalpur–Itarsi section is a key railway corridor in the Indian state of Madhya Pradesh that connects the city of Jabalpur with the major junction of Itarsi, serving numerous intermediate towns and facilitating regional passenger and freight movement.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agra–Etawah section Target entity description: The Agra–Etawah section is a key railway line in northern India that connects the historic city of Agra with Etawah, facilitating regional passenger and freight transport.
-
A.
Agra–Tundla section
The Agra–Tundla section is a key railway line in northern India that connects the historic city of Agra with the junction town of Tundla, forming part of an important route on the Indian Railways network.
-
B.
Agra–Mathura section
The Agra–Mathura section is a key railway line in northern India that connects the historic cities of Agra and Mathura and forms part of important regional and long-distance rail routes.
-
C.
Jhansi–Gwalior–Agra section
The Jhansi–Gwalior–Agra section is a key railway corridor in northern India that connects the historic cities of Jhansi, Gwalior, and Agra and forms part of an important route for both passenger and freight traffic.
-
D.
Meerut–Muzaffarnagar–Saharanpur section
The Meerut–Muzaffarnagar–Saharanpur section is a key railway corridor in northern India that connects major cities in western Uttar Pradesh and forms part of important regional and long-distance routes.
-
E.
Jabalpur–Itarsi section
The Jabalpur–Itarsi section is a key railway corridor in the Indian state of Madhya Pradesh that connects the city of Jabalpur with the major junction of Itarsi, serving numerous intermediate towns and facilitating regional passenger and freight movement.
- F. None of above. chosen
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6ea56c8190b56d966ccf2c91f7 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.