Triple

T20304689
Position Surface form Disambiguated ID Type / Status
Subject Laurens County E505577 entity
Predicate containsSettlement P847 FINISHED
Object Fountain Inn 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: Fountain Inn | Statement: [Laurens County, containsSettlement, Fountain Inn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fountain Inn
Context triple: [Laurens County, containsSettlement, Fountain Inn]
  • A. Fountain Inn, South Carolina chosen
    Fountain Inn, South Carolina is a small city in the Greenville–Spartanburg metropolitan area known for its historic downtown and community-oriented character in the Upstate region.
  • B. Rock Hill
    Rock Hill is a rapidly growing city in northern South Carolina known for its proximity to Charlotte, diverse economy, and strong sports and educational institutions.
  • C. Spicerville
    Spicerville is an unincorporated community located in Eaton County, Michigan, United States.
  • D. Summerville
    Summerville is a small city in Chattooga County in northwestern Georgia, known as the county seat and a local hub for the surrounding rural area.
  • E. 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.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773ed3248190ba949ec941e8d41f completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.