Triple

T23379625
Position Surface form Disambiguated ID Type / Status
Subject Rhoon metro station E593704 entity
Predicate operator P179 FINISHED
Object RET 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: RET | Statement: [Rhoon metro station, operator, RET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RET
Context triple: [Rhoon metro station, operator, RET]
  • A. RET chosen
    RET is a public transport company operating buses, trams, and metro services in and around Rotterdam in the Netherlands.
  • B. RET
    RET is a receptor tyrosine kinase proto-oncogene whose activating alterations drive various cancers, making it an important therapeutic target in oncology.
  • C. reth
    Reth is the hereditary royal title used for the kings of the Shilluk people of South Sudan, who serve as central political and spiritual leaders in their society.
  • D. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • E. RE
    RE is the commonly used abbreviation for Rugby Europe, the governing body for rugby union in Europe.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b5e4f0819081a5d4586796677b completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:34 p.m.