Triple

T2544137
Position Surface form Disambiguated ID Type / Status
Subject Upper Austria E57855 entity
Predicate hasIndustrialCenter P3436 FINISHED
Object Steyr E276378 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: [Upper Austria, hasIndustrialCenter, Steyr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steyr
Context triple: [Upper Austria, hasIndustrialCenter, Steyr]
  • A. Steyr chosen
    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
    Steyr-Daimler-Puch was a major Austrian industrial conglomerate best known for producing firearms, vehicles, and machinery throughout the 20th century.
  • C. 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.
  • D. Heckler & Koch
    Heckler & Koch is a German defense manufacturer renowned for producing small arms such as the G3, MP5, and HK416 rifles used by military and law enforcement worldwide.
  • E. Krauss-Maffei Wegmann
    Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c10ce88190b242ab3d41878fda completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af655a0f088190a7ac30c6df1fdff6 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:47 p.m.