Triple

T2663388
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Plateau E54775 entity
Predicate relativeImportanceInCountry P41270 FINISHED
Object key settlement area of Luxembourg 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: key settlement area of Luxembourg | Statement: [Luxembourg Plateau, relativeImportanceInCountry, key settlement area of Luxembourg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relativeImportanceInCountry
Context triple: [Luxembourg Plateau, relativeImportanceInCountry, key settlement area of Luxembourg]
  • A. commonInCountry
    Indicates that something occurs frequently or is widespread within a specified country.
  • B. rankingImpact
    Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
  • C. politicalImportance
    Indicates the degree to which something holds significance, influence, or priority within political processes, decisions, or power structures.
  • D. countryTargeted
    Indicates that a particular country is the intended object or focus of an action, operation, or influence.
  • E. countryStatus
    Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96b9f1c8190a8a9460ca88a9aaf completed March 7, 2026, 7:53 a.m.
PD Predicate disambiguation batch_69abd81768748190bd965f367cf6ef37 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd8dd05c48190b4f90031642c4091 completed March 7, 2026, 7:50 a.m.
Created at: March 6, 2026, 9:54 p.m.