Triple

T13768696
Position Surface form Disambiguated ID Type / Status
Subject Milton High School E330817 entity
Predicate servesCommunity P82 FINISHED
Object Milton, Georgia E80576 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: Milton, Georgia | Statement: [Milton High School, servesCommunity, Milton, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milton, Georgia
Context triple: [Milton High School, servesCommunity, Milton, Georgia]
  • A. Milton, Georgia chosen
    Milton, Georgia is a suburban city in the northern Atlanta metropolitan area known for its affluent residential communities, equestrian estates, and semi-rural character.
  • B. Milford, Georgia
    Milford, Georgia is a small unincorporated community located in rural southwestern Georgia within Baker County.
  • C. Milner, Georgia
    Milner, Georgia is a small city in central Georgia located within Lamar County, known for its rural character and proximity to larger regional centers like Griffin and Barnesville.
  • D. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • E. Morrow, Georgia
    Morrow, Georgia is a small suburban city in the Atlanta metropolitan area known for housing Clayton State University and various retail and commercial centers.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e152ac8190b8d705295df4834a completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:10 p.m.