Triple

T14916636
Position Surface form Disambiguated ID Type / Status
Subject Victoria City E371398 entity
Predicate mappingNote P116662 FINISHED
Object name still appears in some official and historical maps 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: name still appears in some official and historical maps | Statement: [Victoria City, mappingNote, name still appears in some official and historical maps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mappingNote
Context triple: [Victoria City, mappingNote, name still appears in some official and historical maps]
  • A. navigationNote
    Indicates that there is an auxiliary note or instruction intended to guide or assist navigation within a resource, interface, or environment.
  • B. mapped
    Indicates that one entity has been associated, corresponded, or linked systematically to another according to some defined mapping or alignment.
  • C. mapsTo
    Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
  • D. notableMap
    Indicates that there is a map which is especially significant, well-known, or noteworthy in relation to the subject.
  • E. mapsFrom
    Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62038508190946499cd3552990e completed April 15, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69de9a52ba988190a26e268b4ea083ea completed April 14, 2026, 7:49 p.m.
PDg Predicate description generation batch_69deb1a4d8dc8190a4c0841c20f2875f completed April 14, 2026, 9:29 p.m.
Created at: April 10, 2026, 2:31 a.m.