Triple

T5570122
Position Surface form Disambiguated ID Type / Status
Subject Albert Canal E145976 entity
Predicate locatedNear P294 FINISHED
Object Genk E267956 NE 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: Genk | Statement: [Albert Canal, locatedNear, Genk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genk
Context triple: [Albert Canal, locatedNear, Genk]
  • A. Douai
    Douai is a historic town in northern France known for its medieval belfry, former importance as a university and legal center, and role in the shifting Franco-Flemish borderlands.
  • B. Genk, Belgium chosen
    Genk, Belgium is an industrial city in the province of Limburg known for its former Ford automobile plant and its role as a regional economic and transportation hub.
  • C. Charleroi
    Charleroi is a major industrial city in the Walloon region of Belgium, historically important as a fortified stronghold and later as a center of coal mining and heavy industry.
  • D. Kortrijk
    Kortrijk is a historic city in western Belgium known for its medieval architecture, textile industry heritage, and role in the Battle of the Golden Spurs.
  • E. Liège
    Liège is a major city in eastern Belgium known for its industrial heritage, vibrant cultural scene, and position along the Meuse River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0204f0d288190b9d4884665ba9116 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0284bb71881908c0ac4ea2a302327 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:36 p.m.