Triple

T28841643
Position Surface form Disambiguated ID Type / Status
Subject Sealdah–Dankuni line E728331 entity
Predicate category P87 FINISHED
Object Kolkata Suburban Railway lines
The Kolkata Suburban Railway lines are an extensive network of commuter rail corridors serving Kolkata and its surrounding metropolitan region, connecting the city with numerous suburbs and satellite towns.
 E1929217 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: Kolkata Suburban Railway lines | Statement: [Sealdah–Dankuni line, category, Kolkata Suburban Railway lines]
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: Kolkata Suburban Railway lines
Triple: [Sealdah–Dankuni line, category, Kolkata Suburban Railway lines]
Generated description
The Kolkata Suburban Railway lines are an extensive network of commuter rail corridors serving Kolkata and its surrounding metropolitan region, connecting the city with numerous suburbs and satellite towns.

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_69f0319e8e7c8190b37288c8845b9dbc completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f6597388608190b0bcb812f4484f62 completed May 2, 2026, 8:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2898b1eba08190bc56ed497031ee33 completed June 9, 2026, 10:50 p.m.
NEDg Description generation batch_6a289970128c8190a8a5d8f04db9a9c1 completed June 9, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a289a90fec48190a132ca1f6a9db98b completed June 9, 2026, 10:58 p.m.
Created at: April 28, 2026, 6:41 a.m.