Triple

T24596571
Position Surface form Disambiguated ID Type / Status
Subject United States Census Bureau West South Central division E608688 entity
Predicate hasCoastalStates P96465 FINISHED
Object Louisiana 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 | Statement: [United States Census Bureau West South Central division, hasCoastalStates, Louisiana]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCoastalStates
Context triple: [United States Census Bureau West South Central division, hasCoastalStates, Louisiana]
  • A. hasNonCoastalMemberStates
    Indicates that within a given group or organization, there exist member states that do not have a coastline.
  • B. includesCoastalStates chosen
    Indicates that a geographic or political region contains one or more states that have a coastline.
  • C. coastalState
    Indicates that a state has a coastline adjacent to a sea or ocean, giving it maritime access and jurisdiction over nearby coastal waters.
  • D. hasCoastalRegion
    Indicates that a place possesses at least one region that borders or is directly adjacent to a sea or ocean.
  • E. hasMainlandCoastline
    Indicates that a geographic entity possesses a coastline that is directly connected to a continental mainland, rather than only to islands or inland bodies of water.
  • 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_69e2c4cf54248190af7b0c2d9ade9830 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6ca751c8190a040c10d701ecf3a completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:30 a.m.