Triple

T22153966
Position Surface form Disambiguated ID Type / Status
Subject Berkelland E547484 entity
Predicate flagImage P24713 FINISHED
Object Flag of Berkelland
The Flag of Berkelland is the official municipal banner representing the Dutch municipality of Berkelland in the province of Gelderland.
E1523577 NE FINISHED

How this triple was built (4 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: Flag of Berkelland | Statement: [Berkelland, flagImage, Flag of Berkelland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flag of Berkelland
Context triple: [Berkelland, flagImage, Flag of Berkelland]
  • A. Flag of Raeren
    The Flag of Raeren is the official municipal banner of the Belgian town of Raeren, symbolizing its local identity and heritage.
  • B. Flag of Hannut
    The Flag of Hannut is the official municipal banner representing the Belgian town of Hannut in the province of Liège.
  • C. Flag of Waimes
    The Flag of Waimes is the official municipal banner representing the Belgian town of Waimes in the province of Liège, reflecting its local identity and heritage.
  • D. Flag of Middelkerke
    The Flag of Middelkerke is the official municipal banner of the Belgian coastal town of Middelkerke, symbolizing its local identity and heritage.
  • E. Flag of Bremen
    The Flag of Bremen is the distinctive red-and-white striped civil and state flag representing the German city-state of Bremen.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Flag of Berkelland
Triple: [Berkelland, flagImage, Flag of Berkelland]
Generated description
The Flag of Berkelland is the official municipal banner representing the Dutch municipality of Berkelland in the province of Gelderland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flag of Berkelland
Target entity description: The Flag of Berkelland is the official municipal banner representing the Dutch municipality of Berkelland in the province of Gelderland.
  • A. Flag of Raeren
    The Flag of Raeren is the official municipal banner of the Belgian town of Raeren, symbolizing its local identity and heritage.
  • B. Flag of Hannut
    The Flag of Hannut is the official municipal banner representing the Belgian town of Hannut in the province of Liège.
  • C. Flag of Waimes
    The Flag of Waimes is the official municipal banner representing the Belgian town of Waimes in the province of Liège, reflecting its local identity and heritage.
  • D. Flag of Middelkerke
    The Flag of Middelkerke is the official municipal banner of the Belgian coastal town of Middelkerke, symbolizing its local identity and heritage.
  • E. Flag of Bremen
    The Flag of Bremen is the distinctive red-and-white striped civil and state flag representing the German city-state of Bremen.
  • F. None of above. chosen

Provenance (5 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9eb8d398819086031725209b6712 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9fcd64948190b37649b57b0aeb7b completed May 18, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa06cd2708190856a9e4dd8891eca completed May 18, 2026, 5:15 a.m.
Created at: April 16, 2026, 8:33 p.m.