Triple

T28631776
Position Surface form Disambiguated ID Type / Status
Subject Boxhagener Platz E724657 entity
Predicate hasSurroundingStreets P87577 FINISHED
Object Gabriel-Max-Straße
Gabriel-Max-Straße is a street in Berlin’s Friedrichshain district, known for its proximity to the popular Boxhagener Platz and its lively mix of cafés, bars, and residential buildings.
 E1939747 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: Gabriel-Max-Straße | Statement: [Boxhagener Platz, hasSurroundingStreets, Gabriel-Max-Straße]
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: Gabriel-Max-Straße
Triple: [Boxhagener Platz, hasSurroundingStreets, Gabriel-Max-Straße]
Generated description
Gabriel-Max-Straße is a street in Berlin’s Friedrichshain district, known for its proximity to the popular Boxhagener Platz and its lively mix of cafés, bars, and residential buildings.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSurroundingStreets
Context triple: [Boxhagener Platz, hasSurroundingStreets, Gabriel-Max-Straße]
  • A. surroundedByStreet chosen
    Indicates that an entity is encircled or enclosed on all sides by one or more streets.
  • B. hasNearbyStreet
    Indicates that one entity is located close to or adjacent to a street.
  • C. hasNearbyStreetPattern
    Indicates that one location has a street layout or configuration that is spatially close to, or in the vicinity of, another location’s street pattern.
  • D. hasNumberOfStreets
    Indicates the relationship that specifies how many streets are associated with or contained within a given entity.
  • E. hasCrossStreets
    Indicates that a location is situated at or near the intersection of the specified streets.
  • 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_69f01d8328c48190bc0e5f9b9b848582 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fd3a69f1e08190a11aed015bff0858 completed May 8, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28fb869a108190bed5a67e503222a3 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28fd8eeec88190967745b3d877c786 completed June 10, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_6a28fe2639308190a88b24ca38978e50 completed June 10, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69fd39124180819080ca7911d3515d6d completed May 8, 2026, 1:14 a.m.
Created at: April 28, 2026, 4:37 a.m.