Triple

T1812913
Position Surface form Disambiguated ID Type / Status
Subject Dordrecht E40368 entity
Predicate partOf P40 FINISHED
Object Randstad E33858 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: Randstad | Statement: [Dordrecht, partOf, Randstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randstad
Context triple: [Dordrecht, partOf, Randstad]
  • A. ManpowerGroup
    ManpowerGroup is a global workforce solutions and staffing services company that provides recruitment, talent management, and outsourcing services to businesses worldwide.
  • B. Randstad metropolitan region chosen
    The Randstad metropolitan region is a densely populated urban area in the western Netherlands that includes major cities such as Amsterdam, Rotterdam, The Hague, and Utrecht, forming the country’s primary economic and cultural hub.
  • C. Recruit Holdings
    Recruit Holdings is a Japanese human resources and marketing conglomerate best known globally as the owner of major job search platform Indeed.
  • D. Groupe ADP
    Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
  • E. Towers Watson
    Towers Watson was a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c775408190b4f5912786720e28 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9aa4c5881908b21829dda45da5a completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.