Triple

T2656841
Position Surface form Disambiguated ID Type / Status
Subject Atomium E54631 entity
Predicate locatedIn P40 FINISHED
Object Heysel Plateau E235402 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: Heysel Plateau | Statement: [Atomium, locatedIn, Heysel Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heysel Plateau
Context triple: [Atomium, locatedIn, Heysel Plateau]
  • A. Heysel Plateau chosen
    The Heysel Plateau is a prominent area in northern Brussels known for hosting major exhibition halls, the Atomium landmark, and various cultural and recreational facilities.
  • B. Havelterberg
    Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
  • C. Aue
    Aue is a town in the Ore Mountains region of Saxony, Germany, known historically for its mining industry and role as a local transport hub.
  • D. Mátyusföld
    Mátyusföld is a historical and ethnographic region in southern Slovakia known for its predominantly Hungarian population and fertile lowland landscape.
  • E. Gellért Hill
    Gellért Hill is a prominent hill in Budapest known for its panoramic views over the city and the Danube, as well as landmarks like the Citadella fortress and the Liberty Statue.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94ae2e881909399b3d58159aa29 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d325ec819097d7f80a28343687 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.