Triple

T24187657
Position Surface form Disambiguated ID Type / Status
Subject CI E599601 entity
Predicate appliesToRailroad P76977 FINISHED
Object Long Island Rail Road NE NERFINISHED

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: Long Island Rail Road | Statement: [CI, appliesToRailroad, Long Island Rail Road]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToRailroad
Context triple: [CI, appliesToRailroad, Long Island Rail Road]
  • A. appliesToRailwayNetwork
    Indicates that something is relevant or specifically applicable to a railway network as a whole.
  • B. relatedRailroad chosen
    Indicates that there is an association or connection between an entity and a specific railroad, such as ownership, operation, service, or historical linkage.
  • C. hasRail
    Indicates that something is equipped with, includes, or is connected to a rail or rail system.
  • D. isRailwayIn
    Indicates that a railway is located within or passes through a specified geographic or administrative area.
  • E. isRailServiceOf
    Indicates that a particular rail service operates for, belongs to, or is provided by a specified entity (such as a route, operator, or network).
  • 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_69e288cdc8b88190bf2f835d3cb4ca28 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27c9ddfcc819096697a844b300cce completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c42f942c8190b103ff29a60fef34 completed April 29, 2026, 8:41 a.m.
Created at: April 17, 2026, 11:35 p.m.