Triple

T35463629
Position Surface form Disambiguated ID Type / Status
Subject Monte Ne, Arkansas E1025003 entity
Predicate submersionCausedBy P127251 FINISHED
Object construction of Beaver Dam 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: construction of Beaver Dam | Statement: [Monte Ne, Arkansas, submersionCausedBy, construction of Beaver Dam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: submersionCausedBy
Context triple: [Monte Ne, Arkansas, submersionCausedBy, construction of Beaver Dam]
  • A. hasCauseOfSubmergence chosen
    Indicates a relationship where one entity is the cause or reason for another entity becoming submerged or underwater.
  • B. submergedBy
    Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
  • C. constructionCaused
    Indicates that one construction activity, process, or project is the cause of another event, condition, or outcome.
  • D. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • E. formedBySubmerging
    Indicates that something comes into existence or is created as a result of being placed or held beneath the surface of a liquid.
  • 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_69f76dfa20d0819089585dc2cf653aea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79da9f80c8190b0afd8509f28747b completed May 3, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69f79617d40481909ba372f94209c08b completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:04 p.m.