Triple

T33324206
Position Surface form Disambiguated ID Type / Status
Subject Ys E853220 entity
Predicate hasSeaDike P27578 FINISHED
Object yes LITERAL 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: yes | Statement: [Ys, hasSeaDike, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeaDike
Context triple: [Ys, hasSeaDike, yes]
  • A. partlyDikedSince
    Indicates that an entity has been partially protected or enclosed by dikes starting from a specified point in time.
  • B. 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.
  • C. dikeBreaches
    Indicates that a dike fails or ruptures, allowing water to break through its barrier.
  • D. hasEmbankment chosen
    Indicates that one entity possesses or is characterized by an embankment, such as a raised structure built to contain, support, or protect against water or terrain.
  • E. hasMarinaOrStaithe
    Indicates that a place includes or is associated with a marina or staithe (a landing stage or mooring area for boats).
  • 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_69f349685f088190b8fda44083a018a9 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff7ae5d088819089aa3b6360b6b749 completed May 9, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69ff7a4df6488190bf60d675b36b1d6d completed May 9, 2026, 6:17 p.m.
Created at: May 1, 2026, 1:33 a.m.