Triple

T4775915
Position Surface form Disambiguated ID Type / Status
Subject Fourth Avenue Local E106045 entity
Predicate typicalServiceTrain P56947 FINISHED
Object R E78746 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: R | Statement: [Fourth Avenue Local, typicalServiceTrain, R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R
Context triple: [Fourth Avenue Local, typicalServiceTrain, R]
  • A. R chosen
    R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
  • B. R
    R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
  • C. R
    R is a post-nominal letter used to denote a specific rank or class within the Danish Order of the Dannebrog.
  • D. Re
    Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
  • E. RA
    RA is the commonly used abbreviation for Rugby Australia, the governing body for rugby union in Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalServiceTrain
Context triple: [Fourth Avenue Local, typicalServiceTrain, R]
  • A. railServiceType
    Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
  • B. railwayTypeServed
    Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
  • C. trainTypeUsed chosen
    Indicates that a specific type or category of train is employed or operated in a given context or service.
  • D. trains
    Indicates that one entity teaches, instructs, or coaches another entity to develop skills, knowledge, or abilities.
  • E. usesTrainNumber
    Indicates that one entity operates, identifies, or references another entity by a specific train number.
  • F. None of above.

Provenance (4 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd69237f80819090713ed62653fb75 completed March 20, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43c6d7848190b998eee680149d6f completed March 21, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69bd622be1388190ab5511b589c878c0 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:21 p.m.