Triple

T37212323
Position Surface form Disambiguated ID Type / Status
Subject Grand Reims E922639 entity
Predicate hasEconomicCompetence P187546 FINISHED
Object business park development 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: business park development | Statement: [Grand Reims, hasEconomicCompetence, business park development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicCompetence
Context triple: [Grand Reims, hasEconomicCompetence, business park development]
  • A. hasEconomicPosition
    Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
  • B. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • C. hasEconomicLevel
    Indicates that one entity possesses, is classified by, or is associated with a particular economic status or level.
  • D. hasEconomicResource
    Indicates that an entity possesses, controls, or has access to an economic resource (such as money, assets, or productive means) that can be used for economic activities or value creation.
  • E. hasEconomicDimension
    Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
  • 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_69f76ea6f5288190b8d9988f613811c0 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb55de3b9c8190a7656aeab3c3ffbc completed May 6, 2026, 2:53 p.m.
PD Predicate disambiguation batch_69fb35bc92e08190bff447624e2df791 completed May 6, 2026, 12:36 p.m.
PDg Predicate description generation batch_69fb55dc36d08190a0634fa680e13114 completed May 6, 2026, 2:53 p.m.
Created at: May 3, 2026, 4:15 p.m.