Triple

T23799579
Position Surface form Disambiguated ID Type / Status
Subject French Netherlands E588631 entity
Predicate historicalSubregion P915 FINISHED
Object Walloon Flanders
Walloon Flanders is a historical region in present-day Belgium characterized by its Romance (Walloon and French) language heritage within the broader, historically Dutch-influenced Low Countries.
 E1631827 NE FINISHED

How this triple was built (3 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: Walloon Flanders | Statement: [French Netherlands, historicalSubregion, Walloon Flanders]
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: Walloon Flanders
Triple: [French Netherlands, historicalSubregion, Walloon Flanders]
Generated description
Walloon Flanders is a historical region in present-day Belgium characterized by its Romance (Walloon and French) language heritage within the broader, historically Dutch-influenced Low Countries.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: historicalSubregion
Context triple: [French Netherlands, historicalSubregion, Walloon Flanders]
  • A. historicalRegion chosen
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
  • B. historicalCoreRegion
    Indicates that a region served as the central or foundational area of a group, state, or civilization during a significant historical period.
  • C. historicalAdministrativeRegionName
    Indicates the name assigned to an administrative region as it existed during a specific historical period.
  • D. historicalFocusRegion
    Indicates that an entity’s primary historical attention, study, or activity is centered on a particular geographic region.
  • E. historicalStatusOfRegion
    Indicates the historical political or administrative status that a region held during a specific past period.
  • F. None of above.

Provenance (6 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_69e25d15db58819092ac1e6791696fd9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c6dfaae081908be48fa89e625f71 completed April 29, 2026, 8:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd62c2cd081908e7fc8f8424da036 completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd785e66c8190971031df082764bf completed May 22, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd83e09ac81909c039cdcf5e2d022 completed May 22, 2026, 4:14 a.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:52 p.m.