Triple

T9146303
Position Surface form Disambiguated ID Type / Status
Subject Lake Starnberg E219462 entity
Predicate hasLakesideTown P59883 FINISHED
Object Starnberg E42787 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: Starnberg | Statement: [Lake Starnberg, hasLakesideTown, Starnberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starnberg
Context triple: [Lake Starnberg, hasLakesideTown, Starnberg]
  • A. Starnberg chosen
    Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
  • B. Landsberg
    Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
  • C. Dornstadt
    Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
  • D. Idstein
    Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
  • E. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • 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: hasLakesideTown
Context triple: [Lake Starnberg, hasLakesideTown, Starnberg]
  • A. hasNearbyLake
    Indicates that one entity is located close to or in the vicinity of a lake.
  • B. hasWaterfrontPark
    Indicates that a place or area includes or is associated with a park located directly along a body of water.
  • C. hasWaterfrontArea
    Indicates that an entity possesses or includes an area directly adjacent to or bordering a body of water.
  • D. hasLagoon
    Indicates that one entity possesses, contains, or is characterized by a lagoon in relation to another entity or location.
  • E. hasWaterTown chosen
    Indicates that one place is a town characterized by or associated with water in relation to another entity.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca917914c8190b97ca9169bbd1e5e completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05458ac188190acc47fc99f8ee182 completed April 3, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69cc6603ce8c8190bf6e8d6754bdec54 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:20 p.m.