Triple

T3384628
Position Surface form Disambiguated ID Type / Status
Subject Strijp E71265 entity
Predicate associatedWithEconomicSector P47145 FINISHED
Object technology 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: technology | Statement: [Strijp, associatedWithEconomicSector, technology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithEconomicSector
Context triple: [Strijp, associatedWithEconomicSector, technology]
  • A. ownerSector
    Indicates the sector or industry category to which the owner of an entity belongs.
  • B. isPartOfEconomicCluster
    Indicates that an entity belongs to, or is included within, a larger economic cluster or grouping based on economic relationships or activities.
  • C. hasEconomicOrganization
    Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
  • D. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • E. economicSectorSourceOfWealth
    Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ee5e188190912dcea494a12038 completed March 8, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69ada434bae48190a77ea37f9274ad8f completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada527ff308190813a7ffdcdec4322 completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:14 p.m.