Triple
T5987550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bareilly Junction |
E133264
|
entity |
| Predicate | isJunctionOf |
P14465
|
FINISHED |
| Object |
Bareilly–Pilibhit–Lalkuan line
The Bareilly–Pilibhit–Lalkuan line is a railway route in northern India that connects Bareilly with Pilibhit and Lalkuan, serving as an important regional link in the Indian Railways network.
|
E560959
|
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: Bareilly–Pilibhit–Lalkuan line | Statement: [Bareilly Junction, isJunctionOf, Bareilly–Pilibhit–Lalkuan line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bareilly–Pilibhit–Lalkuan line Context triple: [Bareilly Junction, isJunctionOf, Bareilly–Pilibhit–Lalkuan line]
-
A.
Delhi–Moradabad–Bareilly–Lucknow line
The Delhi–Moradabad–Bareilly–Lucknow line is a key Indian Railways route in northern India that connects the national capital Delhi with major cities in Uttar Pradesh, including Moradabad, Bareilly, and the state capital Lucknow.
-
B.
Jhansi–Lucknow line
The Jhansi–Lucknow line is a key railway route in the Indian state of Uttar Pradesh that connects the historic city of Jhansi with the state capital, Lucknow, facilitating regional passenger and freight transport.
-
C.
Jhansi–Banda line
The Jhansi–Banda line is a railway route in northern India that connects Jhansi in Uttar Pradesh with Banda, serving as a regional link for passenger and freight transport.
-
D.
Mathura–Kasganj line
The Mathura–Kasganj line is a railway route in northern India that connects Mathura with Kasganj, serving as an important regional link for passenger and freight traffic.
-
E.
Kanpur–Mathura line
The Kanpur–Mathura line is a key railway route in northern India connecting the industrial city of Kanpur with the historic city of Mathura, forming part of an important corridor for passenger and freight traffic.
- 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: Bareilly–Pilibhit–Lalkuan line Triple: [Bareilly Junction, isJunctionOf, Bareilly–Pilibhit–Lalkuan line]
Generated description
The Bareilly–Pilibhit–Lalkuan line is a railway route in northern India that connects Bareilly with Pilibhit and Lalkuan, serving as an important regional link in the Indian Railways network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bareilly–Pilibhit–Lalkuan line Target entity description: The Bareilly–Pilibhit–Lalkuan line is a railway route in northern India that connects Bareilly with Pilibhit and Lalkuan, serving as an important regional link in the Indian Railways network.
-
A.
Delhi–Moradabad–Bareilly–Lucknow line
The Delhi–Moradabad–Bareilly–Lucknow line is a key Indian Railways route in northern India that connects the national capital Delhi with major cities in Uttar Pradesh, including Moradabad, Bareilly, and the state capital Lucknow.
-
B.
Jhansi–Lucknow line
The Jhansi–Lucknow line is a key railway route in the Indian state of Uttar Pradesh that connects the historic city of Jhansi with the state capital, Lucknow, facilitating regional passenger and freight transport.
-
C.
Jhansi–Banda line
The Jhansi–Banda line is a railway route in northern India that connects Jhansi in Uttar Pradesh with Banda, serving as a regional link for passenger and freight transport.
-
D.
Mathura–Kasganj line
The Mathura–Kasganj line is a railway route in northern India that connects Mathura with Kasganj, serving as an important regional link for passenger and freight traffic.
-
E.
Kanpur–Mathura line
The Kanpur–Mathura line is a key railway route in northern India connecting the industrial city of Kanpur with the historic city of Mathura, forming part of an important corridor for passenger and freight traffic.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc38a308190a368c5c787a5fc64 |
completed | March 22, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10854969c8190b9be249f26ad2f47 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c109bf2fb4819091915b2e10b629b8 |
completed | March 23, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10a5e061c81909e8085f3210452dc |
completed | March 23, 2026, 9:39 a.m. |
Created at: March 22, 2026, 4:04 p.m.