Triple

T7839702
Position Surface form Disambiguated ID Type / Status
Subject Piedmont Atlantic region E181773 entity
Predicate containsCity P294 FINISHED
Object Spartanburg E61724 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: Spartanburg | Statement: [Piedmont Atlantic region, containsCity, Spartanburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spartanburg
Context triple: [Piedmont Atlantic region, containsCity, Spartanburg]
  • A. Spartanburg, South Carolina chosen
    Spartanburg, South Carolina is a city in the Upstate region known as a regional economic and educational hub and a key stop on Amtrak’s Crescent passenger rail line.
  • B. Simpsonville
    Simpsonville is a suburban city in upstate South Carolina, known as part of the Greenville metropolitan area and for its rapid residential and commercial growth.
  • C. Easley, South Carolina
    Easley, South Carolina is a small city in the northwestern part of the state known for its proximity to the Blue Ridge Mountains and its role as a suburban community near Greenville.
  • D. Greenville
    Greenville is a small city in south-central Alabama known for its historic downtown and role as the county seat of Butler County.
  • E. Greenville
    Greenville is a suburban community within the greater Dallas metropolitan area in Texas.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c4680481908628d22bbe4842f4 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf0394348190b5928ffb9e3df45e completed March 31, 2026, 2:49 p.m.
Created at: March 30, 2026, 4:47 p.m.