Triple

T27935806
Position Surface form Disambiguated ID Type / Status
Subject Violet Line (Delhi Metro) E708107 entity
Predicate corridorNumber P163793 FINISHED
Object Line 6
Line 6 is a major corridor of the Delhi Metro network, commonly known as the Violet Line, connecting central Delhi with key southern and southeastern areas of the city and its suburbs.
 E1796768 NE FINISHED

How this triple was built (3 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 6 | Statement: [Violet Line (Delhi Metro), corridorNumber, Line 6]
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 6
Triple: [Violet Line (Delhi Metro), corridorNumber, Line 6]
Generated description
Line 6 is a major corridor of the Delhi Metro network, commonly known as the Violet Line, connecting central Delhi with key southern and southeastern areas of the city and its suburbs.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: corridorNumber
Context triple: [Violet Line (Delhi Metro), corridorNumber, Line 6]
  • A. corridorType
    Indicates the specific kind or classification of a corridor associated with an entity or location.
  • B. numberOfCorridors
    Indicates the total count of corridors associated with or contained within a given entity or structure.
  • C. corridorStatus
    Indicates the current operational or accessibility state of a corridor (e.g., open, closed, restricted, or otherwise constrained).
  • D. corridorOrientation
    Indicates the directional alignment or bearing of a corridor relative to a reference frame or coordinate system.
  • E. corridorFunction
    Indicates that one entity serves as a corridor or passageway functionally connecting or providing access between other spaces or areas.
  • F. None of above. chosen

Provenance (7 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_69ef96bbf2c48190a9d0e0291457aab6 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63c045bd081908e0cb2a119202e8f completed May 2, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13115991908190b06238af57b64865 completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a131353def88190916b525508e3266a completed May 24, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a13142452c48190b65c9ebee1703be6 completed May 24, 2026, 3:07 p.m.
PD Predicate disambiguation batch_69f6370ea79c81909b761821ee0fa698 completed May 2, 2026, 5:40 p.m.
PDg Predicate description generation batch_69f63b3039808190b00bbd19161487f3 completed May 2, 2026, 5:58 p.m.
Created at: April 27, 2026, 7:05 p.m.