Triple

T18090584
Position Surface form Disambiguated ID Type / Status
Subject Forrest City High School E432953 entity
Predicate city P40 FINISHED
Object Forrest City 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: Forrest City | Statement: [Forrest City High School, city, Forrest City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forrest City
Context triple: [Forrest City High School, city, Forrest City]
  • A. Forrest City, Arkansas chosen
    Forrest City, Arkansas is a small city in eastern Arkansas known as the birthplace of the national auto parts retailer AutoZone.
  • B. Holly Springs
    Holly Springs is a suburban town in North Carolina known for its rapid growth, family-friendly communities, and proximity to the Research Triangle’s technology and research hubs.
  • C. Trinityville
    Trinityville is a rural community located in the parish of St. Thomas in eastern Jamaica.
  • D. Falls City
    Falls City is a small city in southeastern Nebraska that serves as the county seat of Richardson County and a regional hub near the Kansas and Missouri borders.
  • E. Jacksdale
    Jacksdale is a village in Nottinghamshire, England, known for its coal-mining heritage and location within the Ashfield District.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd17ba98819085a15e8593d98259 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.