Triple

T4083965
Position Surface form Disambiguated ID Type / Status
Subject Midden-Delfland E87543 entity
Predicate locatedIn 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: [Midden-Delfland, locatedIn, Randstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randstad
Context triple: [Midden-Delfland, locatedIn, 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7a4b488190ab466e2c50329ab3 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c9760c8190a9292eb1cea55ab2 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.