Triple

T15438500
Position Surface form Disambiguated ID Type / Status
Subject View into a Lane E369833 entity
Predicate associatedArtisticRegion P85794 FINISHED
Object Rhineland E60266 NE FINISHED

How this triple was built (3 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: Rhineland | Statement: [View into a Lane, associatedArtisticRegion, Rhineland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhineland
Context triple: [View into a Lane, associatedArtisticRegion, Rhineland]
  • A. Rhineland chosen
    The Rhineland is a historically significant region in western Germany along the Rhine River, long contested as a strategic and economic heartland in European conflicts.
  • B. Rijnland
    Rijnland is a historical region in the western Netherlands, centered around the lower Rhine delta and known for its extensive water management and polder landscapes.
  • C. Rhine-Weser region
    The Rhine-Weser region is a historical area in western Germany associated with the early homeland and formation of the Frankish people.
  • D. Westphalia
    Westphalia is a historical region in northwestern Germany known for being the site of the 1648 treaties that ended the Thirty Years' War and reshaped the political order of Europe.
  • E. Siegerland
    Siegerland is a hilly, forested region in western Germany known for its historic iron ore mining and metalworking industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedArtisticRegion
Context triple: [View into a Lane, associatedArtisticRegion, Rhineland]
  • A. associatedArtCentre
    Indicates a relationship where an entity is linked or connected to a particular art centre, typically as its partner, host, or affiliated institution.
  • B. associatedArtisticCircle chosen
    Indicates that two entities are connected through the same artistic circle, group, or movement, reflecting shared creative or cultural affiliation.
  • C. regionallyAssociatedWith
    Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
  • D. associatedAdministrativeRegion
    Indicates that an entity is linked to, or falls under the jurisdiction of, a particular administrative region.
  • E. associatedWithArtForm
    Indicates a relationship where an entity is connected or linked to a particular art form, such as by practice, creation, representation, or influence.
  • F. None of above.

Provenance (4 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d40d3388190b1bd724238f928b1 completed May 9, 2026, 1:57 p.m.
PD Predicate disambiguation batch_69ded28276f481908c2038bb301e57cf completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:21 a.m.