Triple

T10923507
Position Surface form Disambiguated ID Type / Status
Subject Lake Constance region E258004 entity
Predicate contains P35 FINISHED
Object Lindau E156177 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: Lindau | Statement: [Lake Constance region, contains, Lindau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindau
Context triple: [Lake Constance region, contains, Lindau]
  • A. Lindau chosen
    Lindau is a historic Bavarian town in southern Germany located on an island in Lake Constance near the borders with Austria and Switzerland.
  • B. Friedrichshafen
    Friedrichshafen is a city on the northern shore of Lake Constance in southern Germany, known for its aviation and engineering industries and as a historic center of airship and aircraft production.
  • C. Elchingen
    Elchingen is a municipality in southern Germany, historically notable as the site of a major Napoleonic victory during the War of the Third Coalition.
  • D. Plochingen
    Plochingen is a town in the German state of Baden-Württemberg, known for its location at the confluence of the Fils and Neckar rivers and its distinctive Hundertwasser-designed residential complex.
  • E. Heiligenhafen
    Heiligenhafen is a coastal town in northern Germany on the Baltic Sea, known for its fishing harbor, beaches, and tourism.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708e3fd881908da10f24a856364c completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6fdc1608190a072b919d2cee387 completed April 18, 2026, 12:57 a.m.
Created at: April 8, 2026, 9:22 p.m.