Triple

T3021666
Position Surface form Disambiguated ID Type / Status
Subject Buch am Forst E82471 entity
Predicate hasMunicipalAssociation P33889 FINISHED
Object Stadt Lichtenfels E11679 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: Stadt Lichtenfels | Statement: [Buch am Forst, hasMunicipalAssociation, Stadt Lichtenfels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadt Lichtenfels
Context triple: [Buch am Forst, hasMunicipalAssociation, Stadt Lichtenfels]
  • A. Lichtenfels chosen
    Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
  • B. Neustadt an der Aisch
    Neustadt an der Aisch is a small town in the Bavarian region of Germany, known for its historic center and location along the Aisch River between Würzburg and Nuremberg.
  • C. Stadt Fürth
    Stadt Fürth is a Bavarian city in Germany known for its rich Franconian cultural traditions, historic architecture, and vibrant local festivals.
  • D. Langenau
    Langenau is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its historic center and proximity to the Swabian Jura.
  • E. Saalfeld
    Saalfeld is a town in the German state of Thuringia, known for its historic old town and former significance as a regional railway and industrial center.
  • 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: hasMunicipalAssociation
Context triple: [Buch am Forst, hasMunicipalAssociation, Stadt Lichtenfels]
  • A. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • B. hasMunicipalPartnershipWith
    Indicates a formal cooperative or collaborative relationship established between two municipalities, typically involving shared projects, services, or governance initiatives.
  • C. hasMunicipalFormation chosen
    Indicates that an administrative or territorial unit is organized into, or associated with, a specific municipal formation as its local self-governing structure.
  • D. hasNeighborhoodAssociation
    Indicates that an entity is associated with, or falls under the jurisdiction of, a particular neighborhood association.
  • E. hasCivicOrganization
    Indicates that an entity is associated with, supported by, or contains a civic organization, such as a community, volunteer, or public-interest group.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a951e688190b3e35909affd3bfd completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20342ccf88190880b21f72948a4d3 completed March 12, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69ad961c430c8190ac48f2e3c7e7c649 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.