Triple

T13291884
Position Surface form Disambiguated ID Type / Status
Subject Mariendorf E316577 entity
Predicate adjacentTo P224 FINISHED
Object Tempelhof locality E381479 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: Tempelhof locality | Statement: [Mariendorf, adjacentTo, Tempelhof locality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tempelhof locality
Context triple: [Mariendorf, adjacentTo, Tempelhof locality]
  • A. Tempelhof chosen
    Tempelhof is a historic district in Berlin, Germany, best known for the former Tempelhof Airport and its vast airfield now used as a public park.
  • B. 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.
  • C. Friedrichsfelde locality
    Friedrichsfelde is a residential and historically significant locality in the Berlin borough of Lichtenberg, known among other things for the Tierpark Berlin zoo and its post-war urban architecture.
  • D. Ludwigsfelde
    Ludwigsfelde is a town in the German state of Brandenburg, located just south of Berlin and known for its industrial history and automotive manufacturing.
  • E. Sachsenhausen district
    The Sachsenhausen district is a historic quarter of Frankfurt am Main, Germany, known for its traditional apple wine taverns, cobbled streets, and vibrant nightlife along the south bank of the Main River.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99077a8f48190b1163448a3a978a2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d6dc988190ab7183089113237f completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.