Triple

T38317009
Position Surface form Disambiguated ID Type / Status
Subject Delhi Jn E1033852 entity
Predicate servesAsOriginFor P3654 FINISHED
Object multiple passenger and express services LITERAL 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: multiple passenger and express services | Statement: [Delhi Jn, servesAsOriginFor, multiple passenger and express services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesAsOriginFor
Context triple: [Delhi Jn, servesAsOriginFor, multiple passenger and express services]
  • A. originatesAs
    Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
  • B. hasOriginIn chosen
    Indicates that something begins, arises, or is derived from a specified source, place, or cause.
  • C. servesAsRouteTo
    Indicates that one entity functions as a pathway, channel, or means of access leading to another entity.
  • D. metaOrigin
    Indicates the original source, provenance, or creation context from which the associated metadata itself is derived.
  • E. servesAsQualifierFor
    Indicates that one entity functions as a qualifier or modifier that refines, restricts, or specifies the meaning or scope of another entity.
  • F. None of above.

Provenance (3 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_69f76e132c408190969b3d35c04b87ae completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a00a22e32f481909b6006c5b1cdefd3 completed May 10, 2026, 3:20 p.m.
PD Predicate disambiguation batch_6a00a1bd9c908190b4aa17a61f48126f completed May 10, 2026, 3:18 p.m.
Created at: May 3, 2026, 4:30 p.m.