Triple

T16471296
Position Surface form Disambiguated ID Type / Status
Subject Enztal E400066 entity
Predicate region P40 FINISHED
Object northern Black Forest E15351 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: northern Black Forest | Statement: [Enztal, region, northern Black Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern Black Forest
Context triple: [Enztal, region, northern Black Forest]
  • A. Thuringian Forest
    The Thuringian Forest is a low mountain range in central Germany known for its dense woodlands, scenic hiking trails, and the historic Rennsteig ridgeway.
  • B. Franconian Forest
    The Franconian Forest is a low mountain range in northern Bavaria, Germany, known for its extensive woodlands, hiking trails, and role as a watershed between the Main and Saale river systems.
  • C. Black Forest
    Black Forest is a renowned scuba diving site off Balicasag Island in the Philippines, famous for its lush black coral formations and rich marine biodiversity.
  • D. Black Forest chosen
    The Black Forest is a large, densely wooded mountain range in southwestern Germany known for its picturesque villages, cuckoo clocks, and origin of the Danube River.
  • E. Palatinate Forest
    The Palatinate Forest is a large low-mountain forested region in southwestern Germany, known for its extensive woodlands, sandstone rock formations, and status as a protected nature park.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd0d2fc81909b68b5afb00f192f completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679ecf4c819096e7f698b81fe25a completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:11 a.m.