Triple

T27723511
Position Surface form Disambiguated ID Type / Status
Subject Tromostovje E699031 entity
Predicate isUrbanAxis P163110 FINISHED
Object true 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: true | Statement: [Tromostovje, isUrbanAxis, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isUrbanAxis
Context triple: [Tromostovje, isUrbanAxis, true]
  • A. isUrbanAxisNear
    Indicates that one urban axis (such as a main street or corridor) is located in close spatial proximity to another reference feature or axis within an urban area.
  • B. isUrbanNode
    Indicates that a location or entity functions as an urban center or node within a city or metropolitan network.
  • C. isUrbanForm
    Indicates that an entity represents or exhibits characteristics of an urban built environment or city-like spatial structure.
  • D. isUrbanService
    Indicates that a service operates within or is specifically intended for an urban area or city environment.
  • E. isUrbanDistrict
    Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
  • F. None of above. chosen

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_69ef591012dc8190a6f1ec994f9f7ff7 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6363e68488190a49c0d03f513e355 completed May 2, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69f63188e7408190af8ce8b93d128c63 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6352df6148190bc10772cd40bd7b3 completed May 2, 2026, 5:32 p.m.
Created at: April 27, 2026, 3:08 p.m.