Triple

T29555604
Position Surface form Disambiguated ID Type / Status
Subject Bilaspur railway division E749896 entity
Predicate hasRailwayLine P848 FINISHED
Object Bilaspur–Jharsuguda line
The Bilaspur–Jharsuguda line is a key railway route in eastern India that connects Bilaspur in Chhattisgarh with Jharsuguda in Odisha, serving as an important corridor for both passenger and freight traffic.
E1875848 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: Bilaspur–Jharsuguda line | Statement: [Bilaspur railway division, hasRailwayLine, Bilaspur–Jharsuguda 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: Bilaspur–Jharsuguda line
Triple: [Bilaspur railway division, hasRailwayLine, Bilaspur–Jharsuguda line]
Generated description
The Bilaspur–Jharsuguda line is a key railway route in eastern India that connects Bilaspur in Chhattisgarh with Jharsuguda in Odisha, serving as an important corridor for both passenger and freight traffic.

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_69f0bd4919e48190942b2a13d5b97d03 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66d1979a08190be7ff0d21c56d9fb completed May 2, 2026, 9:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26615861688190a282b8a1e3865410 completed June 8, 2026, 6:29 a.m.
NEDg Description generation batch_6a26656a3cdc81908287a8a2145d6cc6 completed June 8, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a266a6610e88190801c2b1101259b84 completed June 8, 2026, 7:08 a.m.
Created at: April 28, 2026, 5:16 p.m.