Triple

T21513440
Position Surface form Disambiguated ID Type / Status
Subject Friedrichsfelde depot E530784 entity
Predicate locatedInBorough P300 FINISHED
Object Lichtenberg NE NERFINISHED

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: [Friedrichsfelde depot, locatedInBorough, Lichtenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lichtenberg
Context triple: [Friedrichsfelde depot, locatedInBorough, 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. Lichtenwald
    Lichtenwald is a small municipality in the German state of Baden-Württemberg, located in the Esslingen district near the Stuttgart metropolitan area.
  • D. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • E. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea88e6fc8190a4b73b8d32dae5a8 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.