Triple

T22647921
Position Surface form Disambiguated ID Type / Status
Subject Tara Boulevard E559013 entity
Predicate passesThrough P225 FINISHED
Object Lovejoy, Georgia 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: Lovejoy, Georgia | Statement: [Tara Boulevard, passesThrough, Lovejoy, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lovejoy, Georgia
Context triple: [Tara Boulevard, passesThrough, Lovejoy, Georgia]
  • A. Lovejoy, Georgia chosen
    Lovejoy, Georgia is a small city in the southern Atlanta metropolitan area known for its Civil War history and suburban residential character.
  • B. Lovett, Georgia
    Lovett, Georgia is a small unincorporated rural community located in Laurens County in the central part of the state.
  • C. Whigham, Georgia
    Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
  • D. Nahunta, Georgia
    Nahunta, Georgia is a small city in southeastern Georgia that serves as the county seat of Brantley County.
  • E. Richwood, Georgia
    Richwood, Georgia is a small unincorporated rural community located in Dooly County in the U.S. state of Georgia.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17039c2bc8190972a7c169b27005c completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.