Triple

T19860615
Position Surface form Disambiguated ID Type / Status
Subject Lover of the Bayou E477246 entity
Predicate hasTheme P261 FINISHED
Object Louisiana bayou 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: Louisiana bayou | Statement: [Lover of the Bayou, hasTheme, Louisiana bayou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisiana bayou
Context triple: [Lover of the Bayou, hasTheme, Louisiana bayou]
  • A. Louisiana bayou chosen
    The Louisiana bayou is a vast network of slow-moving, swampy waterways and wetlands in southern Louisiana, known for its rich Cajun and Creole culture, diverse wildlife, and atmospheric, moss-draped cypress landscapes.
  • B. New Orleans bayou
    The New Orleans bayou is a swampy, waterlogged wetland region around New Orleans known for its cypress trees, winding waterways, and rich Cajun and Creole cultural heritage.
  • C. Boggy Bayou
    Boggy Bayou is a small coastal inlet and estuarine waterway in Florida that feeds into Choctawhatchee Bay along the Gulf Coast.
  • D. Ayish Bayou
    Ayish Bayou is a stream in eastern Texas that flows through San Augustine County and ultimately feeds into the Sabine River system.
  • E. Bayou Texar
    Bayou Texar is a coastal bayou in Pensacola, Florida, known for its brackish waters, residential shoreline, and recreational activities such as boating and fishing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589a68b081908c2f333b6a292a1f completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.