Triple

T6062847
Position Surface form Disambiguated ID Type / Status
Subject Swann Covered Bridge E135077 entity
Predicate nearSettlement P3883 FINISHED
Object Cleveland, Alabama E217853 NE 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: Cleveland, Alabama | Statement: [Swann Covered Bridge, nearSettlement, Cleveland, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cleveland, Alabama
Context triple: [Swann Covered Bridge, nearSettlement, Cleveland, Alabama]
  • A. Cleveland, Alabama chosen
    Cleveland, Alabama is a small rural town in Blount County known for its close-knit community and location in north-central Alabama.
  • B. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • C. Blountsville, Alabama
    Blountsville, Alabama is a small historic town in northern Alabama known for its rural character and role as one of the early settlements in the region.
  • D. Kingston, Alabama
    Kingston, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
  • E. Alexandria, Alabama
    Alexandria, Alabama is a small unincorporated community in Calhoun County known as the birthplace of Confederate artillery officer John Pelham.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05722815081909ee47e8f94b87b3a completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4036f2081909fa40e07d19291f2 completed March 27, 2026, 8:09 p.m.
Created at: March 22, 2026, 4:10 p.m.