Triple

T12994993
Position Surface form Disambiguated ID Type / Status
Subject Landelijke Knokploegen E322009 entity
Predicate cooperatedWith P435 FINISHED
Object Ordedienst E322008 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: Ordedienst | Statement: [Landelijke Knokploegen, cooperatedWith, Ordedienst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ordedienst
Context triple: [Landelijke Knokploegen, cooperatedWith, Ordedienst]
  • A. Ordedienst (OD) chosen
    Ordedienst (OD) was a Dutch underground resistance organization during the Nazi occupation of the Netherlands, primarily composed of former military officers who focused on maintaining order and preparing for liberation.
  • B. Delivery Hero
    Delivery Hero is a global online food delivery and quick-commerce company that operates numerous delivery platforms and brands across multiple countries.
  • C. McDelivery
    McDelivery is McDonald’s food delivery service that allows customers to order menu items for home or office delivery via apps, websites, or partner platforms.
  • D. GrabExpress
    GrabExpress is Grab’s on-demand parcel and document delivery service operating across various Southeast Asian cities.
  • E. Postmates
    Postmates is an on-demand delivery service platform that connects users with local couriers to deliver food, groceries, and other goods from nearby merchants.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7877f481908a03f1077600e58a completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc4111c8190ace7bf505cd652ee completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:44 p.m.