Triple

T17736600
Position Surface form Disambiguated ID Type / Status
Subject Siesmayerstraße E442733 entity
Predicate hasHouseNumbering P49387 FINISHED
Object yes LITERAL 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: yes | Statement: [Siesmayerstraße, hasHouseNumbering, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHouseNumbering
Context triple: [Siesmayerstraße, hasHouseNumbering, yes]
  • A. hasStreetNumberingSystem chosen
    Indicates that a location or area uses an organized system for assigning numbers to buildings or addresses along its streets.
  • B. houseNumber
    Indicates that an entity has a specific house or street number as part of its address.
  • C. hasJunctionNumbering
    Indicates that a road or route is assigned a specific numbering system for its junctions or intersections.
  • D. boroughNumber
    Indicates the numerical identifier assigned to a specific borough within a larger administrative or municipal division.
  • E. hasUnitNumber
    Indicates that an entity is associated with a specific unit identifier or number within a larger building, complex, or organizational structure.
  • F. None of above.

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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478ec48988190a503f9aafeab6d23 completed April 19, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69e3cde815e08190881972e2d80d151e completed April 18, 2026, 6:31 p.m.
Created at: April 10, 2026, 10:08 a.m.