Triple

T12326731
Position Surface form Disambiguated ID Type / Status
Subject Le Villi E293847 entity
Predicate setting P1957 FINISHED
Object 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: Black Forest | Statement: [Le Villi, setting, Black Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Forest
Context triple: [Le Villi, setting, Black Forest]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Hegau
    Hegau is a volcanic landscape and historical region in southwestern Germany, known for its distinctive extinct volcanoes and medieval castle ruins near Lake Constance.
  • E. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4f90a881908c5060dd197744d1 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8f0c708190ac16a391089ab747 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.