Triple

T20739930
Position Surface form Disambiguated ID Type / Status
Subject Red Line (Lucknow Metro) E509810 entity
Predicate lineNumber P1864 FINISHED
Object Line 1
Line 1 is the Red Line corridor of the Lucknow Metro, a rapid transit route serving key areas of Lucknow, India.
E1447778 NE FINISHED

How this triple was built (4 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: Line 1 | Statement: [Red Line (Lucknow Metro), lineNumber, Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 1
Context triple: [Red Line (Lucknow Metro), lineNumber, Line 1]
  • A. Line 1
    Line 1 is a major rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's primary east–west corridors.
  • B. Line 1
    Line 1 is the oldest and one of the busiest lines of the Paris Métro, running primarily east–west through central Paris and serving many major landmarks.
  • C. Line 1
    Line 1 is the numerical designation commonly used for Ottawa’s Confederation Line, the city’s primary light rail transit route.
  • D. Line 1
    Line 1 is the first rapid transit line of the Santo Domingo Metro system, serving as a major north–south corridor through the Dominican Republic’s capital.
  • E. Line 1
    Line 1 is the first and primary rapid transit line of the Sofia Metro system in Bulgaria, connecting key residential districts with the city center and major transport hubs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Line 1
Triple: [Red Line (Lucknow Metro), lineNumber, Line 1]
Generated description
Line 1 is the Red Line corridor of the Lucknow Metro, a rapid transit route serving key areas of Lucknow, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 1
Target entity description: Line 1 is the Red Line corridor of the Lucknow Metro, a rapid transit route serving key areas of Lucknow, India.
  • A. Line 1
    Line 1 is the designation for the Red Line, one of the main rapid transit corridors of the Delhi Metro network in India.
  • B. Line 1
    Line 1 is the first operational corridor of the Mumbai Monorail system, serving as a key elevated transit route in Mumbai, India.
  • C. Line 1
    Line 1 is a primary rapid transit route of the Shijiazhuang Metro system in Shijiazhuang, China, serving key urban areas along an east–west corridor.
  • D. Line 1
    Line 1 is the primary light rail route of the West Midlands Metro system, running between key urban centers in the West Midlands region of England.
  • E. Line 1
    Line 1 is a major rapid transit line of the Chongqing Metro system in Chongqing, China, providing east–west urban rail service across the city.
  • F. None of above. chosen

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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20d9d4c8190a2fd87f8a33c313d completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e83bee00819087ca4a2f57d97590 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e8aaf8c48190a39ff61647931670 completed May 16, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08e91102e081909b22c8d69c6c994c completed May 16, 2026, 10 p.m.
Created at: April 16, 2026, 12:32 p.m.