Triple

T7784150
Position Surface form Disambiguated ID Type / Status
Subject Pink Line (Delhi Metro) E187198 entity
Predicate lineNumber P1864 FINISHED
Object Line 7
Line 7 is the Pink Line of the Delhi Metro, a major orbital corridor that connects numerous key residential and commercial areas across Delhi.
E693489 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 7 | Statement: [Pink Line (Delhi Metro), lineNumber, Line 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 7
Context triple: [Pink Line (Delhi Metro), lineNumber, Line 7]
  • A. Line 7
    Line 7 is a route of Mexico City’s Metrobús bus rapid transit system that serves key corridors with dedicated lanes and high-capacity articulated buses.
  • B. Line 7
    Line 7 is one of the main lines of the Tehran Metro rapid transit network, serving various districts of Iran’s capital city.
  • C. Line 7
    Line 7 is a rapid transit route of the STC Metro system, serving as one of its numbered lines within the network.
  • D. Line 7
    Line 7 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou and its surrounding areas.
  • E. Line 7
    Line 7 is a major rapid transit route of the Shanghai Metro that runs in a roughly north–south direction, connecting several key residential, commercial, and cultural areas across the city.
  • 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 7
Triple: [Pink Line (Delhi Metro), lineNumber, Line 7]
Generated description
Line 7 is the Pink Line of the Delhi Metro, a major orbital corridor that connects numerous key residential and commercial areas across Delhi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 7
Target entity description: Line 7 is the Pink Line of the Delhi Metro, a major orbital corridor that connects numerous key residential and commercial areas across Delhi.
  • A. Line 7
    Line 7 is a major rapid transit route of the Shanghai Metro that runs in a roughly north–south direction, connecting several key residential, commercial, and cultural areas across the city.
  • B. Line 7
    Line 7 is a major route of the Seoul Metropolitan Subway system that runs in a north–south diagonal across the city, connecting residential districts with key urban hubs.
  • C. Line 7
    Line 7 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving several key districts across the city.
  • D. Line 7
    Line 7 is an east–west rapid transit line of the Beijing Subway serving several central and southwestern districts of Beijing.
  • E. Line 7
    Line 7 is a rapid transit route of the STC Metro system, serving as one of its numbered lines within the network.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf210f508190b215a0ab95192689 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5f4fa6c8190a85ba9019c0e5345 completed March 30, 2026, 10:15 p.m.
NEDg Description generation batch_69caf81ebde881909bd131da8987b449 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa013f348190a2067dee4a0c8c40 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:22 p.m.