Triple

T14295432
Position Surface form Disambiguated ID Type / Status
Subject Northern Berlin E354425 entity
Predicate containsGreenArea P45219 FINISHED
Object Tegeler Forst E15561 NE FINISHED

How this triple was built (3 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 Forst | Statement: [Northern Berlin, containsGreenArea, Tegeler Forst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegeler Forst
Context triple: [Northern Berlin, containsGreenArea, Tegeler Forst]
  • A. Tegeler Forst chosen
    Tegeler Forst is a large forested area in the Berlin district of Tegel, known for its natural landscapes, walking trails, and recreational opportunities.
  • B. Spandauer Forst
    Spandauer Forst is a large forest and nature reserve in the northwest of Berlin, known for its rich biodiversity, wetlands, and extensive network of walking trails.
  • C. Köpenicker Forst
    Köpenicker Forst is a large forested nature reserve in the Köpenick district of Berlin, known for its extensive woodlands, wetlands, and recreational trails.
  • D. Volkspark Friedrichshain
    Volkspark Friedrichshain is a large historic public park in Berlin known for its wooded hills, walking paths, and recreational facilities.
  • E. Tempelhofer Feld
    Tempelhofer Feld is a vast public park and former airport in Berlin, Germany, known for its open runways, recreational spaces, and historical significance, including its role in the Berlin Airlift.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsGreenArea
Context triple: [Northern Berlin, containsGreenArea, Tegeler Forst]
  • A. isGreenSpaceFor
    Indicates that one entity serves as a designated green or open space intended for use or benefit by another entity.
  • B. hasGreenSpaces chosen
    Indicates that an entity includes or is associated with areas of vegetation or natural greenery, such as parks, gardens, or lawns.
  • C. isGreenSpaceType
    Indicates that one entity is classified as a type or category of green space (such as parks, gardens, or natural vegetated areas) in relation to another.
  • D. hasGreenType
    Indicates that an entity possesses or is associated with a type classified as green.
  • E. enclosesArea
    Indicates that one entity surrounds and contains a bounded region of space occupied or defined by another.
  • F. None of above.

Provenance (4 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717b35ec81908968994e65737c66 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d246ccc81909e9fe8b4487dcc88 completed May 8, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69de2a8f81f08190af737e1654847aa6 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:11 a.m.