Triple

T3436008
Position Surface form Disambiguated ID Type / Status
Subject Alt-Tempelhof E72452 entity
Predicate partOfLineSection P3120 FINISHED
Object U6 Tempelhof section E13613 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: U6 Tempelhof section | Statement: [Alt-Tempelhof, partOfLineSection, U6 Tempelhof section]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U6 Tempelhof section
Context triple: [Alt-Tempelhof, partOfLineSection, U6 Tempelhof section]
  • A. 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.
  • B. Berlin U-Bahn line U6 chosen
    Berlin U-Bahn line U6 is a major north–south underground metro line in Berlin that connects the northern district of Tegel with southern neighborhoods through the city center.
  • C. U3 at Hallesches Tor
    U3 at Hallesches Tor is a line of the Berlin U-Bahn rapid transit system serving the Hallesches Tor station in central Berlin.
  • D. Tegel district
    Tegel district is a locality in Berlin’s Reinickendorf borough known for its mix of residential areas, industrial sites, and proximity to Lake Tegel and the former Berlin Tegel Airport.
  • E. Tempelhof Airport
    Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f2e4b4819085336fb539daf3c7 completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35481a03c81908fd69da55d81aca3 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.