Triple

T18065610
Position Surface form Disambiguated ID Type / Status
Subject Petrofac Training E432284 entity
Predicate partOf P40 FINISHED
Object Petrofac Group NE NERFINISHED

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: Petrofac Group | Statement: [Petrofac Training, partOf, Petrofac Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrofac Group
Context triple: [Petrofac Training, partOf, Petrofac Group]
  • A. Petrofac Limited chosen
    Petrofac Limited is a UK-based international oilfield services company that provides engineering, construction, operations, and training solutions to the global energy industry.
  • B. Petroleum Group
    The Petroleum Group is a specialist division of the Geological Society of London focused on the study and professional exchange of knowledge related to petroleum geoscience and hydrocarbon exploration.
  • C. Wood Group
    Wood Group is a global engineering and consulting company serving the energy and industrial sectors with project, operations, and environmental services.
  • D. Aker BP
    Aker BP is a Norwegian oil and gas exploration and production company and one of the largest independent operators on the Norwegian Continental Shelf.
  • E. Essar Oil UK
    Essar Oil UK is a UK-based downstream energy company that operates refining, storage, and fuel distribution assets, including major terminals and retail networks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce81de88190bd94d4ccee3e180c completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.