Triple

T25893977
Position Surface form Disambiguated ID Type / Status
Subject Kesteren E652412 entity
Predicate hasRiverDike P127358 FINISHED
Object Nederrijn dike near Kesteren
The Nederrijn dike near Kesteren is a protective embankment along the Nederrijn River in the Dutch village of Kesteren, designed to prevent flooding and manage high water levels.
 E1699393 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: Nederrijn dike near Kesteren | Statement: [Kesteren, hasRiverDike, Nederrijn dike near Kesteren]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nederrijn dike near Kesteren
Triple: [Kesteren, hasRiverDike, Nederrijn dike near Kesteren]
Generated description
The Nederrijn dike near Kesteren is a protective embankment along the Nederrijn River in the Dutch village of Kesteren, designed to prevent flooding and manage high water levels.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasRiverDike
Context triple: [Kesteren, hasRiverDike, Nederrijn dike near Kesteren]
  • A. DikeRepresents
    Indicates that one entity (typically a person or organization) serves as the legal representative or advocate for another entity in matters concerning a dike or flood-defense structure.
  • B. dikeBreaches
    Indicates that a dike fails or ruptures, allowing water to break through its barrier.
  • C. watercourseHasDam
    Indicates that a watercourse (such as a river or stream) has a dam constructed on or across it.
  • D. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • E. hasNearbyRiverStructure chosen
    Indicates that a river-related structure (such as a dam, bridge, or levee) is located close to the referenced entity.
  • F. None of above.

Provenance (6 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_69e7ab3c6cc081908de59bfcc28ec19d completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6430a93a48190854ce71df680b2fa completed May 2, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ecc0ace4819093937aa83ffc1913 completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10ed2166748190bdc01176cb5f675c completed May 22, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_6a10edb1ca0c81909f567f40e6601be6 completed May 22, 2026, 11:58 p.m.
PD Predicate disambiguation batch_69f641da05b881909f6283c988639c53 completed May 2, 2026, 6:26 p.m.
Created at: April 22, 2026, 8:22 a.m.