Triple

T28976765
Position Surface form Disambiguated ID Type / Status
Subject Wuhlheide Park Railway E734428 entity
Predicate hasStationNearby P77644 FINISHED
Object Freizeit- und Erholungszentrum Wuhlheide
Freizeit- und Erholungszentrum Wuhlheide is a large leisure and recreation complex in Berlin offering sports, cultural, and family-oriented activities within the Wuhlheide park area.
 E734426 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: Freizeit- und Erholungszentrum Wuhlheide | Statement: [Wuhlheide Park Railway, hasStationNearby, Freizeit- und Erholungszentrum Wuhlheide]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Freizeit- und Erholungszentrum Wuhlheide
Triple: [Wuhlheide Park Railway, hasStationNearby, Freizeit- und Erholungszentrum Wuhlheide]
Generated description
Freizeit- und Erholungszentrum Wuhlheide is a large leisure and recreation complex in Berlin offering sports, cultural, and family-oriented activities within the Wuhlheide park area.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasStationNearby
Context triple: [Wuhlheide Park Railway, hasStationNearby, Freizeit- und Erholungszentrum Wuhlheide]
  • A. hasStationNear chosen
    Indicates that one entity has a station located in close proximity to another entity.
  • B. hasStationAt
    Indicates that an entity maintains or operates a station located at a specified place.
  • C. hasAdjacentStationOnAC
    Indicates that one station is directly next to another station along the AC line or route.
  • D. hasNearbyBirdStation
    Indicates that one entity is located close to a bird observation or monitoring station associated with another entity.
  • E. hasNearbyBay
    Indicates that one entity is located close to or adjacent to a bay associated with the other entity.
  • F. None of above.

Provenance (6 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_69f05b0d1e7c819092baab93d3fe277e completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69fd82ed2a4c81908bd7797fbd2e3d08 completed May 8, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec6057a48190b0f7217a22cafee0 completed June 7, 2026, 3:58 a.m.
NEDg Description generation batch_6a24f04a62088190a7c7981e2baab162 completed June 7, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a24f4b1f6bc8190b2edb78cc273e419 completed June 7, 2026, 4:33 a.m.
PD Predicate disambiguation batch_69fd814cc10481908e4f8123d35a5d0c completed May 8, 2026, 6:23 a.m.
Created at: April 28, 2026, 9:09 a.m.