Triple

T22623152
Position Surface form Disambiguated ID Type / Status
Subject Eastern Alabama E558339 entity
Predicate includesCity P3207 FINISHED
Object Lanett, Alabama 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: Lanett, Alabama | Statement: [Eastern Alabama, includesCity, Lanett, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanett, Alabama
Context triple: [Eastern Alabama, includesCity, Lanett, Alabama]
  • A. Lanett, Alabama chosen
    Lanett, Alabama is a small city in eastern Alabama near the Georgia border, historically tied to the textile industry and the Chattahoochee River region.
  • B. Langston, Alabama
    Langston, Alabama is a small town in Jackson County known for its location along the shores of Lake Guntersville in northeastern Alabama.
  • C. Brewton, Alabama
    Brewton, Alabama is a small city in Escambia County known for its timber industry, historic downtown, and regional transportation links in southern Alabama.
  • D. Tallassee, Alabama
    Tallassee, Alabama is a small city in central Alabama known for its historic textile mills and location along the Tallapoosa River.
  • E. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3b97f8819082ea2b23ff4b2173 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3:01 p.m.