Triple

T16416393
Position Surface form Disambiguated ID Type / Status
Subject Florence, Mississippi E398695 entity
Predicate locatedNear P294 FINISHED
Object Richland, Mississippi 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: Richland, Mississippi | Statement: [Florence, Mississippi, locatedNear, Richland, Mississippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richland, Mississippi
Context triple: [Florence, Mississippi, locatedNear, Richland, Mississippi]
  • A. Richland, Mississippi chosen
    Richland, Mississippi is a small suburban city in central Mississippi located just south of Jackson in Rankin County.
  • B. Leland, Mississippi
    Leland, Mississippi is a small city in the Mississippi Delta region known for its agricultural heritage and as the childhood home of Muppets creator Jim Henson.
  • C. Sallis, Mississippi
    Sallis, Mississippi is a small rural town located in central Mississippi within Attala County.
  • D. Raymond, Mississippi
    Raymond, Mississippi is a small historic city that serves as the county seat of Hinds County and is known for its Civil War heritage and rural Southern character.
  • E. Newton, Mississippi
    Newton, Mississippi is a small city in eastern Mississippi that serves as a local commercial and community hub for the surrounding rural area.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32877ff248190886717d3329421a7 completed April 18, 2026, 6:45 a.m.
Created at: April 10, 2026, 5:09 a.m.