Triple

T29555591
Position Surface form Disambiguated ID Type / Status
Subject Bilaspur railway division E749896 entity
Predicate hasRailwayStation P918 FINISHED
Object Anuppur Junction railway station
Anuppur Junction railway station is a key rail junction in Madhya Pradesh, India, serving as an important transit point on multiple routes within the South East Central Railway zone.
E1871874 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: Anuppur Junction railway station | Statement: [Bilaspur railway division, hasRailwayStation, Anuppur Junction railway station]
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: Anuppur Junction railway station
Triple: [Bilaspur railway division, hasRailwayStation, Anuppur Junction railway station]
Generated description
Anuppur Junction railway station is a key rail junction in Madhya Pradesh, India, serving as an important transit point on multiple routes within the South East Central Railway zone.

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_6a260c4b35348190abdba85d3c967268 completed June 8, 2026, 12:26 a.m.
NEDg Description generation batch_6a2611c5b05c8190bb5237a0dafb8b4f completed June 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a2615e8084c8190bf17b0d50df4d1c3 completed June 8, 2026, 1:07 a.m.
Created at: April 28, 2026, 5:16 p.m.