Triple

T21002489
Position Surface form Disambiguated ID Type / Status
Subject province of Södermanland E517328 entity
Predicate hasTraditionalProvinceCode P99880 FINISHED
Object SE-04 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: SE-04 | Statement: [province of Södermanland, hasTraditionalProvinceCode, SE-04]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalProvinceCode
Context triple: [province of Södermanland, hasTraditionalProvinceCode, SE-04]
  • A. hasProvincialCode chosen
    Indicates that an entity is associated with a specific provincial code that identifies its province or administrative region.
  • B. containsTraditionalState
    Indicates that one entity geographically or administratively encompasses a traditional or historically recognized state within its boundaries.
  • C. hasProvinceEquivalent
    Indicates that one administrative division is equivalent in status or function to a province within a given political or territorial system.
  • D. hasProvinceName
    Indicates that an entity (such as a province or region) bears or is associated with a specific province name.
  • E. hasTraditionalName
    Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc38b8688190860fba1b58e1b3e6 completed April 21, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e5dbec80708190a49bccab7ff97e7b completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 1:52 p.m.