Triple

T16057559
Position Surface form Disambiguated ID Type / Status
Subject Eneco E389521 entity
Predicate predecessor P97 FINISHED
Object Eneco Energie E389521 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: Eneco Energie | Statement: [Eneco, predecessor, Eneco Energie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eneco Energie
Context triple: [Eneco, predecessor, Eneco Energie]
  • A. Eneco chosen
    Eneco is a Dutch energy company focused on sustainable electricity, gas, and heat production and supply in the Netherlands and surrounding regions.
  • B. E-CO Energi
    E-CO Energi is a Norwegian energy company primarily involved in the production and distribution of hydroelectric power.
  • C. Eurelectric
    Eurelectric is the pan-European industry association representing the interests of the electricity sector and power companies across Europe.
  • D. E.ON
    E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
  • E. Tractebel Energia
    Tractebel Energia is a Brazilian electric power generation company known for operating large hydroelectric facilities and other energy assets across the country.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837634248190a99cc454ad1e99e0 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe678fc8190b36737a9cd29691c completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:57 a.m.