Triple

T17620658
Position Surface form Disambiguated ID Type / Status
Subject New Technology Train E429699 entity
Predicate hasPart P35 FINISHED
Object R188 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: R188 | Statement: [New Technology Train, hasPart, R188]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R188
Context triple: [New Technology Train, hasPart, R188]
  • A. R188 chosen
    The R188 is a class of New York City Subway cars used primarily on the IRT Flushing Line, notable for supporting Communications-Based Train Control and modernized features.
  • B. R618
    R618 is a regional road in County Cork, Ireland, connecting Macroom with surrounding areas and forming part of the local transport network.
  • C. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • D. R8
    R8 is a commuter rail line in the Rodalies de Catalunya network that connects various towns in the Barcelona metropolitan area without passing through the city center.
  • E. R582
    R582 is a regional road in Ireland that serves the town of Macroom and connects it to surrounding areas.
  • 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.