Triple

T10785701
Position Surface form Disambiguated ID Type / Status
Subject Montabaur E254445 entity
Predicate locatedNear P294 FINISHED
Object Westerwald hills E326302 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: Westerwald hills | Statement: [Montabaur, locatedNear, Westerwald hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westerwald hills
Context triple: [Montabaur, locatedNear, Westerwald hills]
  • A. Westerwald chosen
    Westerwald is a low mountain range in western Germany known for its forested landscapes, traditional villages, and ceramic and mining heritage.
  • B. Odenwald
    Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
  • C. 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.
  • D. Rhön
    Rhön is a low mountain range in central Germany known for its volcanic landscape, open plateaus, and designation as a UNESCO Biosphere Reserve.
  • E. Hunsrück
    Hunsrück is a low mountain range in western Germany known for its forested hills, rural landscapes, and traditional villages between the Moselle, Rhine, and Nahe rivers.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d44b488190a9f3ab9b177e737a completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84ddd6f48190a11eae9233d3ef9f completed April 14, 2026, 6:18 p.m.
Created at: April 8, 2026, 9:17 p.m.