Triple

T16864994
Position Surface form Disambiguated ID Type / Status
Subject Train Protection & Warning System E410013 entity
Predicate replacedPartiallyBy P40785 FINISHED
Object European Train Control System on some routes 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: European Train Control System on some routes | Statement: [Train Protection & Warning System, replacedPartiallyBy, European Train Control System on some routes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: replacedPartiallyBy
Context triple: [Train Protection & Warning System, replacedPartiallyBy, European Train Control System on some routes]
  • A. replacedPartOf
    Indicates that one entity has taken the place of another entity as a component or part within a larger whole.
  • B. partlyReplacedBy chosen
    Indicates that one entity has been superseded or substituted in part, but not entirely, by another entity.
  • C. partlyRebuilt
    Indicates that an entity has been reconstructed or restored to some extent, but not fully.
  • D. restoredInPart
    Indicates that something has been brought back to a previous or improved state, but only partially rather than fully.
  • E. partiallyReusedAs
    Indicates that one entity is used again as part of another entity, but only to a limited or incomplete extent rather than in its entirety.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b506dd1c81909ab8006b6a1e2b7a completed April 18, 2026, 4:44 p.m.
PD Predicate disambiguation batch_69e32b8cbb048190878a259cc5be960e completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:24 a.m.