Triple

T27015268
Position Surface form Disambiguated ID Type / Status
Subject Adolf Hitler Platz E680507 entity
Predicate appliedToCityCenter P43821 FINISHED
Object Ljubljana city centre 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: Ljubljana city centre | Statement: [Adolf Hitler Platz, appliedToCityCenter, Ljubljana city centre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedToCityCenter
Context triple: [Adolf Hitler Platz, appliedToCityCenter, Ljubljana city centre]
  • A. hasCoordinateInCityCentreApprox
    Indicates that an entity’s location is approximately within the central area of a city, based on its geographic coordinates.
  • B. connectsToUrbanCenter
    Indicates that one entity has a direct or functional linkage to an urban center, such as through infrastructure, services, or regular interaction.
  • C. appliesToPopulationCenter chosen
    Indicates that something (such as a rule, condition, or characteristic) is relevant or applicable to a specific population center (e.g., a city, town, or urban area).
  • D. hasCityCentreLocation
    Indicates that something is located in, or directly associated with, the central area of a city.
  • E. isFartherFromCityCenterThan
    Indicates that one location is at a greater distance from the city center than another location.
  • 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_69eeeb53939c8190bd431f32b060f01f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: April 27, 2026, 7:05 a.m.