Triple

T17175325
Position Surface form Disambiguated ID Type / Status
Subject Siemens-Duewag U2 E416844 entity
Predicate manufacturer P490 FINISHED
Object Duewag E551922 NE 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: Duewag | Statement: [Siemens-Duewag U2, manufacturer, Duewag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duewag
Context triple: [Siemens-Duewag U2, manufacturer, Duewag]
  • A. Duewag chosen
    Duewag was a prominent German manufacturer of trams and light rail vehicles, widely used in many European public transport systems.
  • B. Deino
    Deino is one of the three Graeae in Greek mythology, ancient sea-daimones who shared a single eye and tooth among them and served as prophetic guardians.
  • C. Merriwagga
    Merriwagga is a small rural town in New South Wales, Australia, known for its grain farming and location in the Riverina region.
  • D. Zebilla
    Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
  • E. Everardus
    Everardus is a Latinized given name historically used in medieval and early modern Europe, derived from the Germanic name Everard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0cec448190b30466628a2ff23f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148435f6081909bfc6cc1ef59d971 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.