Triple

T24877827
Position Surface form Disambiguated ID Type / Status
Subject Mangaluru Junction E622620 entity
Predicate line P1293 FINISHED
Object Mangaluru–Hassan–Mysuru line
The Mangaluru–Hassan–Mysuru line is a key railway route in Karnataka, India, connecting the coastal city of Mangaluru with the inland cities of Hassan and Mysuru across the Western Ghats.
 E1657565 NE FINISHED

How this triple was built (2 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: Mangaluru–Hassan–Mysuru line | Statement: [Mangaluru Junction, line, Mangaluru–Hassan–Mysuru line]
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: Mangaluru–Hassan–Mysuru line
Triple: [Mangaluru Junction, line, Mangaluru–Hassan–Mysuru line]
Generated description
The Mangaluru–Hassan–Mysuru line is a key railway route in Karnataka, India, connecting the coastal city of Mangaluru with the inland cities of Hassan and Mysuru across the Western Ghats.

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_69e2fac4aa848190b3446a3922cec150 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42320ff348190ae6f58953a2c7a3c completed May 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10331d18308190bbb28e4007df7564 completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a10341e764c819083c10e4d151da1c6 completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034d8d52481908c5c422f943c683b completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 5:24 a.m.