Triple

T28381717
Position Surface form Disambiguated ID Type / Status
Subject Transrapid E718905 entity
Predicate projectStatusInGermany P165149 FINISHED
Object no commercial lines in regular service 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: no commercial lines in regular service | Statement: [Transrapid, projectStatusInGermany, no commercial lines in regular service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: projectStatusInGermany
Context triple: [Transrapid, projectStatusInGermany, no commercial lines in regular service]
  • A. statusInGermany
    Indicates the legal or official standing, condition, or classification an entity holds within the jurisdiction of Germany.
  • B. germanyParticipationStatus
    Indicates whether and how Germany is participating in a specified event, activity, or arrangement.
  • C. rankAmongGermanStates
    Indicates the relative position or standing of a German state when ordered or compared to other German states by a specific criterion (such as size, population, or performance).
  • D. objectiveGermany
    Indicates that an entity has Germany as its objective, target, or goal in a given context.
  • E. locatedInPartOfGermany
    Indicates that one entity is geographically situated within a specific region or part of Germany.
  • F. None of above. chosen

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_69eff6ee5afc8190bd7375a29f0cc6c6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f65705a3048190a3728b695ba2ae65 completed May 2, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69f651a931748190a637e631a52bbfaa completed May 2, 2026, 7:34 p.m.
PDg Predicate description generation batch_69f6562ef4e4819082ce6abd41b74dc5 completed May 2, 2026, 7:53 p.m.
Created at: April 28, 2026, 1:07 a.m.