Triple

T25397177
Position Surface form Disambiguated ID Type / Status
Subject Asansol Junction E636323 entity
Predicate onLine P1293 FINISHED
Object Asansol–Tatanagar–Kharagpur line
The Asansol–Tatanagar–Kharagpur line is a key railway route in eastern India that connects industrial and mining regions of West Bengal and Jharkhand, forming part of an important corridor of the Indian Railways network.
 E1701291 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: Asansol–Tatanagar–Kharagpur line | Statement: [Asansol Junction, onLine, Asansol–Tatanagar–Kharagpur 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: Asansol–Tatanagar–Kharagpur line
Triple: [Asansol Junction, onLine, Asansol–Tatanagar–Kharagpur line]
Generated description
The Asansol–Tatanagar–Kharagpur line is a key railway route in eastern India that connects industrial and mining regions of West Bengal and Jharkhand, forming part of an important corridor of the Indian Railways network.

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_69e75db263888190b77fff9e2827b9a2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f584f5dda88190a24d7fb4ab0a45bd completed May 2, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ec8864288190add26c2f0006988c completed May 22, 2026, 11:53 p.m.
NEDg Description generation batch_6a10ee4926f08190aa7df54ca1a330d5 completed May 23, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a10eff47f048190bb3bd46ff186889c completed May 23, 2026, 12:08 a.m.
Created at: April 21, 2026, 1:50 p.m.