Triple
T22687628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bareilly–Pilibhit–Lalkuan line |
E560959
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Lalkuan
Lalkuan is a town in the Nainital district of Uttarakhand, India, known as a regional rail junction and gateway to the Kumaon region.
|
E1551027
|
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: Lalkuan | Statement: [Bareilly–Pilibhit–Lalkuan line, connects, Lalkuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalkuan Context triple: [Bareilly–Pilibhit–Lalkuan line, connects, Lalkuan]
-
A.
Lalkurti
Lalkurti is a historic residential and commercial neighborhood in Rawalpindi, Pakistan, known for its colonial-era origins and proximity to the city’s main cantonment area.
-
B.
Laukaa
Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
-
C.
Larkollen
Larkollen is a coastal village in southeastern Norway known for its beaches, holiday homes, and maritime recreation.
-
D.
Lanklaar
Lanklaar is a village in the Belgian province of Limburg that forms part of the municipality of Maasmechelen.
-
E.
Lutakko
Lutakko is a central lakeside district of Jyväskylä, Finland, known for its modern residential areas, event venues, and the annual Jyväskylä Rock Festival.
- 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: Lalkuan Triple: [Bareilly–Pilibhit–Lalkuan line, connects, Lalkuan]
Generated description
Lalkuan is a town in the Nainital district of Uttarakhand, India, known as a regional rail junction and gateway to the Kumaon region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lalkuan Target entity description: Lalkuan is a town in the Nainital district of Uttarakhand, India, known as a regional rail junction and gateway to the Kumaon region.
-
A.
Lalkurti
Lalkurti is a historic residential and commercial neighborhood in Rawalpindi, Pakistan, known for its colonial-era origins and proximity to the city’s main cantonment area.
-
B.
Laukaa
Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
-
C.
Larkollen
Larkollen is a coastal village in southeastern Norway known for its beaches, holiday homes, and maritime recreation.
-
D.
Lanklaar
Lanklaar is a village in the Belgian province of Limburg that forms part of the municipality of Maasmechelen.
-
E.
Lutakko
Lutakko is a central lakeside district of Jyväskylä, Finland, known for its modern residential areas, event venues, and the annual Jyväskylä Rock Festival.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178983fc8819080aa00e45ff77952 |
completed | April 29, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ecafdb0819094d7f93add75b05f |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b834f488c8190bee40bd1caea0e40 |
completed | May 18, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b8717b65c819089d29c1802d1ed55 |
completed | May 18, 2026, 9:39 p.m. |
Created at: April 17, 2026, 3:13 p.m.