Triple

T11908670
Position Surface form Disambiguated ID Type / Status
Subject Gedenkstätte der Sozialisten E283336 entity
Predicate locatedInDistrict P40 FINISHED
Object Lichtenberg E38727 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: Lichtenberg | Statement: [Gedenkstätte der Sozialisten, locatedInDistrict, Lichtenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lichtenberg
Context triple: [Gedenkstätte der Sozialisten, locatedInDistrict, Lichtenberg]
  • A. Lichtenberg chosen
    Lichtenberg is a borough in eastern Berlin, Germany, known for its mix of residential areas, historical sites, and former Soviet administrative and military facilities.
  • B. Lichtenburg
    Lichtenburg is a town in South Africa’s North West Province, historically significant in the Second Anglo-Boer War and later known for its diamond discoveries and agricultural activity.
  • C. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • D. Reichenbach
    Reichenbach is a German surname most notably associated with Hans Reichenbach, a prominent 20th-century philosopher of science and logical empiricist.
  • E. Witellikon
    Witellikon is a small settlement within the municipality of Küsnacht in the canton of Zürich, Switzerland, situated along the shores of Lake Zurich.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5264b2081909bda6c24abb89725 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f44004b454819091b41bac99895106 completed May 1, 2026, 5:54 a.m.
Created at: April 8, 2026, 9:44 p.m.