Triple

T8374919
Position Surface form Disambiguated ID Type / Status
Subject Nelson County E197551 entity
Predicate contains P35 FINISHED
Object Deatsville E628157 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: Deatsville | Statement: [Nelson County, contains, Deatsville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deatsville
Context triple: [Nelson County, contains, Deatsville]
  • A. Deatsville chosen
    Deatsville is a small town in central Alabama known for its rural character and proximity to the Montgomery metropolitan area.
  • B. Denston
    Denston is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • C. Thamesville
    Thamesville is a small community in southwestern Ontario, Canada, known for its rural character and location within the municipality of Chatham-Kent.
  • D. Moffatdale
    Moffatdale is a scenic valley in southern Scotland known for its rugged landscapes, upland farms, and the course of the Moffat Water running through it.
  • E. Rochestown
    Rochestown is a suburban residential area on the southeastern outskirts of Cork city in Ireland, known for its proximity to the River Lee and good transport links into the city.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a996ec819083ce2607c0cdab7f completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7e7e7ac819084e82a98c4c1249e completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:01 p.m.