Triple

T16814574
Position Surface form Disambiguated ID Type / Status
Subject Dale County, Alabama E408708 entity
Predicate containsSettlement P847 FINISHED
Object Ariton, Alabama E708535 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: Ariton, Alabama | Statement: [Dale County, Alabama, containsSettlement, Ariton, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ariton, Alabama
Context triple: [Dale County, Alabama, containsSettlement, Ariton, Alabama]
  • A. Ariton, Alabama chosen
    Ariton, Alabama is a small rural town in southeastern Alabama known for its close-knit community and agricultural surroundings.
  • B. Arley, Alabama
    Arley, Alabama is a small rural community located in Winston County in the northern part of the state.
  • C. Tarrant, Alabama
    Tarrant, Alabama is a small industrial city in Jefferson County, near Birmingham, known historically for its steel and manufacturing operations.
  • D. Sterrett, Alabama
    Sterrett, Alabama is a small unincorporated community and rural residential area located in eastern Shelby County in central Alabama.
  • E. Dutton, Alabama
    Dutton, Alabama is a small rural town located in northeastern Alabama within the Appalachian region.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2946ddc81908b1e7c662dc943ff completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.