Triple

T28928325
Position Surface form Disambiguated ID Type / Status
Subject Fulda E733711 entity
Predicate meetsWerraAt P157273 FINISHED
Object Hann. Münden NE NERFINISHED

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: Hann. Münden | Statement: [Fulda, meetsWerraAt, Hann. Münden]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: meetsWerraAt
Context triple: [Fulda, meetsWerraAt, Hann. Münden]
  • A. joinsRiverNear chosen
    Indicates that one river or watercourse flows into and merges with another river at or close to a specified location.
  • B. locatedAtConfluenceOf
    Indicates that something is situated at the meeting point where two or more bodies of water or similar flowing features join together.
  • C. meetsWaterway
    Indicates that one geographic feature or entity comes into contact with or joins a waterway such as a river, canal, or stream.
  • D. hasHeadwatersIn
    Indicates that the source or origin of a river, stream, or similar watercourse is located within a specified geographic area or feature.
  • E. hasHeadwatersOf
    Indicates that a specified location or feature is the source or origin point of a particular river or watercourse.
  • F. None of above.

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_69f05b0b49b08190b8994b339c7980f6 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65b50b3d081908d4164f0506236d6 completed May 2, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69f659d02f1c8190831758ac52bb54e4 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 8:25 a.m.