Triple

T7374130
Position Surface form Disambiguated ID Type / Status
Subject Suez E170080 entity
Predicate isListedAs P1278 FINISHED
Object Suez SA E660626 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: Suez SA | Statement: [Suez, isListedAs, Suez SA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suez SA
Context triple: [Suez, isListedAs, Suez SA]
  • A. Suez Canal Company
    The Suez Canal Company was the French-led corporation that financed, built, and initially operated the Suez Canal in Egypt during the 19th century.
  • B. Suez Canal Authority
    The Suez Canal Authority is the Egyptian state-owned agency responsible for managing, operating, and maintaining the Suez Canal and its associated revenues and infrastructure.
  • C. GDF Suez
    GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
  • D. Orascom Construction Industries
    Orascom Construction Industries is a leading Egyptian engineering and construction company with major operations in infrastructure, industrial, and commercial projects across the Middle East and beyond.
  • E. Suez Environnement chosen
    Suez Environnement was a French multinational company specializing in water and waste management services before being rebranded under the Suez name.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a6643c81909d626c8b6a7a11fd completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810de7618819099ab4ff328255d92 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:07 p.m.