Triple

T3258259
Position Surface form Disambiguated ID Type / Status
Subject Chennai Metro E68347 entity
Predicate line P1293 FINISHED
Object Blue Line
The Blue Line is one of the main corridors of the Chennai Metro rapid transit system, connecting key areas of Chennai, India.
E356234 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: Blue Line | Statement: [Chennai Metro, line, Blue Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Line
Context triple: [Chennai Metro, line, Blue Line]
  • A. Blue Line
    The Blue Line is a major rapid transit route in Chicago that runs between O'Hare International Airport and the city's western suburbs via downtown.
  • B. Blue Line
    The Blue Line is one of the color-coded rapid transit routes in the Washington Metro system, running through key parts of Washington, D.C. and its Virginia suburbs.
  • C. Blue Line
    The Blue Line is one of Boston's MBTA rapid transit routes, running primarily between downtown Boston and the coastal communities of East Boston and Revere.
  • D. Blue Line
    The Blue Line is one of the main lines of the Lisbon Metro system, serving key central and northern areas of Portugal’s capital city.
  • E. Blue Line
    The Blue Line is a light rail route in the Dallas Area Rapid Transit (DART) system serving key neighborhoods and suburbs in the Dallas–Fort Worth metroplex.
  • 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: Blue Line
Triple: [Chennai Metro, line, Blue Line]
Generated description
The Blue Line is one of the main corridors of the Chennai Metro rapid transit system, connecting key areas of Chennai, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blue Line
Target entity description: The Blue Line is one of the main corridors of the Chennai Metro rapid transit system, connecting key areas of Chennai, India.
  • A. Blue Line
    The Blue Line is one of the major corridors of the Delhi Metro rapid transit system, connecting key residential and commercial areas across Delhi and its neighboring regions.
  • B. Blue Line
    The Blue Line is a planned rapid transit corridor of Bengaluru’s Namma Metro network intended to expand connectivity across additional parts of the city.
  • C. Blue Line
    The Blue Line is one of the main lines of the Lisbon Metro system, serving key central and northern areas of Portugal’s capital city.
  • D. Blue Line
    Blue Line is a light rail line in the Los Angeles Metro Rail system that connects downtown Los Angeles with Long Beach and was the system’s inaugural route.
  • E. Blue Line
    The Blue Line is one of the primary routes of the MetroLink light rail system serving the St. Louis metropolitan area.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf6a46448190a7fa0ca83fa096f8 completed March 8, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35456814c8190a8e4d53935af539a completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b35546dfa0819081800009fbe8afe3 completed March 13, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69b355cecc4c81908ecb5f83e89b4a00 completed March 13, 2026, 12:09 a.m.
Created at: March 8, 2026, 3:09 p.m.