Triple

T17620653
Position Surface form Disambiguated ID Type / Status
Subject New Technology Train E429699 entity
Predicate hasPart P35 FINISHED
Object R142 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: R142 | Statement: [New Technology Train, hasPart, R142]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R142
Context triple: [New Technology Train, hasPart, R142]
  • A. R142 chosen
    The R142 is a class of New York City Subway A Division electric multiple unit cars built for the IRT lines, featuring modern stainless-steel construction and automated announcements.
  • B. R14
    R14 is a regional railway line in Catalonia, Spain, operated as part of the Rodalies de Catalunya network and connecting inland cities with Barcelona.
  • C. R143
    The R143 is a class of New York City Subway automated-compatible stainless-steel subway cars built by Kawasaki for use primarily on the L train.
  • D. R142A
    The R142A is a class of New York City Subway A Division electric multiple unit cars built in the early 2000s for the IRT lines.
  • E. R-14
    R-14 was a Soviet intermediate-range ballistic missile developed during the Cold War and known in the West by its NATO reporting name SS-5 Skean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d36074481909ee79e238841edf2 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.