Triple

T16392769
Position Surface form Disambiguated ID Type / Status
Subject Schlosspark Niederschönhausen E398094 entity
Predicate isNearby P2064 FINISHED
Object Pankow town hall E393554 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: Pankow town hall | Statement: [Schlosspark Niederschönhausen, isNearby, Pankow town hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pankow town hall
Context triple: [Schlosspark Niederschönhausen, isNearby, Pankow town hall]
  • A. Pankow Town Hall chosen
    Pankow Town Hall is the main administrative and governmental building serving Berlin’s Pankow district.
  • B. Tempelhof Town Hall
    Tempelhof Town Hall is a historic administrative building in Berlin’s Tempelhof district, notable as a local government center and for its prominent location on John-F.-Kennedy-Platz.
  • C. Köpenick Town Hall
    Köpenick Town Hall is a historic red-brick town hall in Berlin’s Köpenick district, best known as the site of the 1906 “Captain of Köpenick” imposture.
  • D. Charlottenburg Town Hall
    Charlottenburg Town Hall is a historic municipal building in Berlin’s Charlottenburg district, known for its distinctive architecture and role as a local administrative center.
  • E. Rathaus Spandau
    Rathaus Spandau is an underground Berlin U-Bahn station in the Spandau district, serving as a key transport hub and western endpoint of line U7 near the historic town hall.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326447a7481909feac905edc707ec completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003573c6d48190979201b9619c5103 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.