Triple

T3223385
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 100 E67561 entity
Predicate passesThrough P225 FINISHED
Object Luthersville E282266 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: Luthersville | Statement: [Georgia State Route 100, passesThrough, Luthersville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luthersville
Context triple: [Georgia State Route 100, passesThrough, Luthersville]
  • A. Luthersville chosen
    Luthersville is a small rural city in Meriwether County, Georgia, known for its quiet residential character and location in west-central Georgia.
  • B. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • C. Markleeville
    Markleeville is a small unincorporated community in the Sierra Nevada of California known for its historic charm, outdoor recreation, and role as the administrative center of Alpine County.
  • D. Slatersville
    Slatersville is a historic village in North Smithfield, Rhode Island, known as one of America’s first planned mill villages centered around early textile manufacturing.
  • E. Marthasville
    Marthasville was the former name of the city now known as Atlanta, Georgia, during its early 19th-century development as a railroad terminus.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae196da8819086fdcf5d2b21a702 completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2625a22148190927b2a63ae3fc726 completed March 12, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:08 p.m.