Triple

T16522669
Position Surface form Disambiguated ID Type / Status
Subject Southern Alps E401356 entity
Predicate hasLanguageRegion P285 FINISHED
Object German language E9053 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: German language | Statement: [Southern Alps, hasLanguageRegion, German language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: German language
Context triple: [Southern Alps, hasLanguageRegion, German language]
  • A. German chosen
    German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
  • B. German
    German refers to a person belonging to the ethnic group native to Germany, typically associated with the German language and culture.
  • C. GRMN
    GRMN is a high-performance sub-brand of Toyota’s Gazoo Racing division, offering limited-run, track-focused versions of select Toyota models.
  • D. Deutsche
    Deutsche is a German term meaning "German," commonly used in the names of German institutions, companies, and cultural entities.
  • E. German ICE
    The German ICE (InterCity Express) is Germany’s high-speed train system, known for its fast, comfortable long-distance rail service and advanced engineering.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e8158cc8190aa77c6d37bd7ec76 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608b7f6081909912dd575979f8d7 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.