Triple

T752298
Position Surface form Disambiguated ID Type / Status
Subject Tegeler See E15475 entity
Predicate hasPart P35 FINISHED
Object Tegeler Hafen (Tegel Harbour) E2522 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: Tegeler Hafen (Tegel Harbour) | Statement: [Tegeler See, hasPart, Tegeler Hafen (Tegel Harbour)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegeler Hafen (Tegel Harbour)
Context triple: [Tegeler See, hasPart, Tegeler Hafen (Tegel Harbour)]
  • A. Tegel chosen
    Tegel is a locality in the Reinickendorf borough of Berlin, Germany, historically known for its manor associated with the Humboldt family and later for the former Berlin Tegel Airport.
  • B. Tempelhof Airport
    Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
  • C. Pfaueninsel ferry terminal
    Pfaueninsel ferry terminal is a small ferry dock in Berlin that serves as the departure point for boats crossing to the historic Pfaueninsel (Peacock Island) on the Havel River.
  • D. Spandau
    Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
  • E. Alt-Tempelhof
    Alt-Tempelhof is an underground station on Berlin’s U-Bahn network serving the Tempelhof district in the southern part of the city.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64d7d2c8190a6059adcb8fbd34f completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e426adc8190b7fa65aeacf8737f completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:37 p.m.