Triple

T11518251
Position Surface form Disambiguated ID Type / Status
Subject Landsberg E273086 entity
Predicate hasLocalGovernmentArea P8215 FINISHED
Object Stadt Landsberg E273086 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: Stadt Landsberg | Statement: [Landsberg, hasLocalGovernmentArea, Stadt Landsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadt Landsberg
Context triple: [Landsberg, hasLocalGovernmentArea, Stadt Landsberg]
  • A. Landsberg chosen
    Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
  • B. Landsberg am Lech
    Landsberg am Lech is a historic Bavarian town in southern Germany known for its medieval old town, picturesque setting on the Lech River, and its association with the nearby Landsberg Prison.
  • C. Stadt Leipheim
    Stadt Leipheim is a small town in the Bavarian region of Swabia in southern Germany, known for its historic center and proximity to the Danube River.
  • D. Ludwigshafen am Bodensee
    Ludwigshafen am Bodensee is a small lakeside municipality in the German state of Baden-Württemberg, situated on the northern shore of Lake Constance and known for its scenic setting and tourism.
  • E. Herrlingen
    Herrlingen is a small village in the German state of Baden-Württemberg, historically noted as the place where Field Marshal Erwin Rommel spent his final days during World War II.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62530a6b08190a8ba3c410e79cf72 completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:36 p.m.