Triple

T9746264
Position Surface form Disambiguated ID Type / Status
Subject Thorsby, Alabama E236315 entity
Predicate locatedNear P294 FINISHED
Object Clanton, Alabama E23798 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: Clanton, Alabama | Statement: [Thorsby, Alabama, locatedNear, Clanton, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clanton, Alabama
Context triple: [Thorsby, Alabama, locatedNear, Clanton, Alabama]
  • A. Clanton, Alabama chosen
    Clanton, Alabama is a small city in central Alabama known for its peach production and location between Birmingham and Montgomery.
  • B. Cullman
    Cullman is a small city in north-central Alabama known for its German heritage, historic downtown, and proximity to Smith Lake.
  • C. Courtland, Alabama
    Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
  • D. Clay, Alabama
    Clay, Alabama is a small suburban city in the Birmingham metropolitan area in central Alabama.
  • E. Cleveland, Alabama
    Cleveland, Alabama is a small rural town in Blount County known for its close-knit community and location in north-central Alabama.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f65ad788190b68d731b6f516d93 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b004a6e88190a974f4a8973f91ef completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:23 p.m.