Triple

T13543975
Position Surface form Disambiguated ID Type / Status
Subject De Bilt E323463 entity
Predicate climateStationFor P33989 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: [De Bilt, climateStationFor, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Netherlands
Context triple: [De Bilt, climateStationFor, 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 common English surname of Dutch origin, historically referring to people from the Holland region of the Netherlands.
  • E. 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.
  • 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: climateStationFor
Context triple: [De Bilt, climateStationFor, Netherlands]
  • A. hasMeteorologicalStation chosen
    Indicates that one entity possesses, hosts, or is equipped with a meteorological station used for observing and recording weather-related data.
  • B. climateBetween
    Indicates that something (such as a location, period, or condition) has a climate that lies within a specified range or intermediate state between two other climatic conditions.
  • C. meteorologicalAgency
    Indicates that one entity functions as the official meteorological agency responsible for providing weather and climate services for another entity or region.
  • D. hasClimateContext
    Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
  • E. hasClimate
    Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d84d19081909f564c90b50fda60 completed May 3, 2026, 2:36 p.m.
PD Predicate disambiguation batch_69dbae13bec4819084c1770638c00ed9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.