Triple

T38396867
Position Surface form Disambiguated ID Type / Status
Subject Eksjö E900785 entity
Predicate urbanAreaStatusSince P30463 FINISHED
Object 15th century 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: 15th century | Statement: [Eksjö, urbanAreaStatusSince, 15th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanAreaStatusSince
Context triple: [Eksjö, urbanAreaStatusSince, 15th century]
  • A. urbanStatusSince chosen
    Indicates the point in time since which an entity has held an urban status or classification.
  • B. cityStatusUntil
    Indicates the period up to a specified time during which a place holds or held a particular city status.
  • C. hasUrbanDistrictStatusSince
    Indicates that an entity has held the legal or administrative status of an urban district continuously since a specified point in time.
  • D. cityDistrictStatus
    Indicates the administrative or legal status that a city district holds within its governing jurisdiction.
  • E. urbanStatusChange
    Indicates a change in an entity’s classification or condition related to its urban status, such as becoming urbanized, de-urbanized, or shifting between different urban categories.
  • 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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:31 p.m.