Triple

T9986975
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand Porsche E196792 entity
Predicate employer P7 FINISHED
Object Steyr E256620 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: Steyr | Statement: [Ferdinand Porsche, employer, Steyr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steyr
Context triple: [Ferdinand Porsche, employer, Steyr]
  • A. Steyr
    Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
  • B. Steyr-Daimler-Puch chosen
    Steyr-Daimler-Puch was a major Austrian industrial conglomerate best known for producing firearms, vehicles, and machinery throughout the 20th century.
  • C. Steyer
    Steyer is a Polish surname most notably borne by Włodzimierz Steyer, a Polish naval officer and admiral.
  • D. Rheinmetall
    Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
  • E. MOWAG
    MOWAG is a Swiss defense vehicle manufacturer best known for designing and producing the Piranha family of wheeled armored combat vehicles.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79c8b80819091dc16ac8fd0c720 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258078488819086a58db79075e2b9 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:50 p.m.