Triple

T36535931
Position Surface form Disambiguated ID Type / Status
Subject Raipur Junction railway station E900583 entity
Predicate onLine P1293 FINISHED
Object Raipur–Vizianagaram line
The Raipur–Vizianagaram line is a key Indian railway route connecting central India with the eastern coastal region, facilitating both passenger and freight movement across Chhattisgarh, Odisha, and Andhra Pradesh.
E2188459 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: Raipur–Vizianagaram line | Statement: [Raipur Junction railway station, onLine, Raipur–Vizianagaram 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: Raipur–Vizianagaram line
Triple: [Raipur Junction railway station, onLine, Raipur–Vizianagaram line]
Generated description
The Raipur–Vizianagaram line is a key Indian railway route connecting central India with the eastern coastal region, facilitating both passenger and freight movement across Chhattisgarh, Odisha, and Andhra Pradesh.

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_69f76e5fbb388190b70c4c15573c8143 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c23daf948190a6850959eacf0f88 completed May 3, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6dcddac8190bdd6afc0f9f503d3 completed June 23, 2026, 1:52 a.m.
NEDg Description generation batch_6a39e76e610081909e3f832eaf70b746 completed June 23, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_6a39e88d8954819083d2669a9223a0aa completed June 23, 2026, 1:59 a.m.
Created at: May 3, 2026, 4:11 p.m.