Triple

T30921497
Position Surface form Disambiguated ID Type / Status
Subject Ardennes plateau E787736 entity
Predicate highestAreasLocatedIn P184387 FINISHED
Object southeastern Belgium 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: southeastern Belgium | Statement: [Ardennes plateau, highestAreasLocatedIn, southeastern Belgium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: highestAreasLocatedIn
Context triple: [Ardennes plateau, highestAreasLocatedIn, southeastern Belgium]
  • A. hasHighestAreas
    Indicates that the subject possesses the largest or most extensive areas compared to other relevant entities or regions.
  • B. largestNeighborhoodByArea
    Indicates the relationship where a neighborhood is identified as the one with the greatest land area among a specified set or within a given region.
  • C. hasLargestAreaOf
    Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
  • D. mostWondersLocatedIn
    Indicates that the majority of a specified set of wonders are situated within a particular location or region.
  • E. belongsToNationCapitalArea
    Indicates that something is part of, or located within, the capital-area region of a specified nation.
  • F. None of above. chosen

Provenance (4 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_69f224bfaca88190b9d0dfcc86297fe9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
PDg Predicate description generation batch_69f7b0e3917481908a394680d76743c3 completed May 3, 2026, 8:32 p.m.
Created at: April 29, 2026, 8:51 p.m.