Triple

T25973167
Position Surface form Disambiguated ID Type / Status
Subject Hantes E645862 entity
Predicate countryOfRiverMouth P87832 FINISHED
Object Belgium NE NERFINISHED

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: Belgium | Statement: [Hantes, countryOfRiverMouth, Belgium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfRiverMouth
Context triple: [Hantes, countryOfRiverMouth, Belgium]
  • A. riverMouthCountry chosen
    Indicates the country in which a river’s mouth (where it flows into another body of water) is located.
  • B. страна устья
    Indicates a relationship where a country is associated with or contains the mouth (outflow point) of a river.
  • C. basinCountry
    Indicates the country or countries within whose territory a river basin or drainage area is primarily located or through which it significantly extends.
  • D. reservoirCountry
    Indicates that a country contains or hosts the reservoir associated with the referenced entity.
  • E. riverMouthAt
    Indicates that the mouth or endpoint of a river is located at a specified place or geographic feature.
  • F. None of above.

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_69e77e8768648190b27bb578f14bcb88 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
Created at: April 22, 2026, 8:51 a.m.