Triple

T9630549
Position Surface form Disambiguated ID Type / Status
Subject Hamburg-Mitte E232790 entity
Predicate contains P35 FINISHED
Object Außenalster (southern shore) E243829 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: Außenalster (southern shore) | Statement: [Hamburg-Mitte, contains, Außenalster (southern shore)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Außenalster (southern shore)
Context triple: [Hamburg-Mitte, contains, Außenalster (southern shore)]
  • A. Außenalster chosen
    Außenalster is the larger, outer section of Hamburg’s Alster lake, known for sailing, rowing, and scenic waterfront paths near the city center.
  • B. Tegeler Hafen
    Tegeler Hafen is a harbor area in Berlin’s Tegel district, known for its waterfront promenade, residential developments, and leisure boating on Lake Tegel.
  • C. Havelchaussee shoreline
    The Havelchaussee shoreline is a scenic waterfront area along the River Havel in Berlin, known for its wooded banks, recreational paths, and views across the water.
  • D. Schweriner Ufer islands
    The Schweriner Ufer islands are a small group of river islands located near Baumwerder in the Havel area of Berlin, Germany.
  • E. Tegeler Insel
    Tegeler Insel is an island located within Lake Tegel in Berlin, Germany, known for its natural setting and recreational surroundings.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b01863c8190a9ec4684804f96bc completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1822e12b8819089d4a64a9980cfcd completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.