Triple

T16821960
Position Surface form Disambiguated ID Type / Status
Subject Tata Steel IJmuiden E408914 entity
Predicate majorEmployerIn P588 FINISHED
Object Netherlands E864 NE FINISHED

How this triple was built (3 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: Netherlands | Statement: [Tata Steel IJmuiden, majorEmployerIn, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Netherlands
Context triple: [Tata Steel IJmuiden, majorEmployerIn, Netherlands]
  • A. Netherlands chosen
    The Netherlands is a Western European country known for its low-lying geography, extensive canal systems, and historically significant role in global trade and European politics.
  • B. Nederland
    Nederland is a small mountain town in Colorado known for its scenic setting near the Rocky Mountains and its quirky local culture.
  • C. Holland
    Holland is a historic coastal region in the western Netherlands that became the political and economic heartland of the emerging Dutch state.
  • D. Holland
    Holland is a regional less-than-truckload (LTL) freight carrier in the United States known for its operations in the Midwest and surrounding areas.
  • E. Holland
    Holland is a small settlement on the Orkney island of Stronsay in Scotland, known for its rural character and coastal surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorEmployerIn
Context triple: [Tata Steel IJmuiden, majorEmployerIn, Netherlands]
  • A. majorEmployerCity
    Indicates that a city is a primary or significant employer of a given entity (such as an organization or population).
  • B. hasMajorEmployer chosen
    Indicates that an entity has a primary or most significant employer with which it is chiefly affiliated for work or occupation.
  • C. employerIn
    Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
  • D. typicalEmployer
    Indicates that one entity is the kind of organization or person that commonly or usually employs the other entity.
  • E. notableEmployer
    Indicates that an entity has been employed by, or has worked for, a particularly significant or noteworthy organization or individual.
  • F. None of above.

Provenance (4 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e77ab88190be1ec8179251864e completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b281cce881908c401bca3cf21dfc completed May 10, 2026, 4:29 p.m.
PD Predicate disambiguation batch_69e32b814b188190aee525f8779203cd completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:23 a.m.