Triple

T15553958
Position Surface form Disambiguated ID Type / Status
Subject Alapaha River E370819 entity
Predicate nearbySettlement P350 FINISHED
Object Jasper, Florida E380759 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: Jasper, Florida | Statement: [Alapaha River, nearbySettlement, Jasper, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasper, Florida
Context triple: [Alapaha River, nearbySettlement, Jasper, Florida]
  • A. Jasper, Florida chosen
    Jasper, Florida is a small historic city in North Florida that serves as the administrative and commercial center of Hamilton County.
  • B. Jennings, Florida
    Jennings, Florida is a small rural town located in northern Florida near the Georgia border.
  • C. Jena, Florida
    Jena, Florida is a small unincorporated community located along the Gulf Coast in rural Dixie County.
  • D. Newberry, Florida
    Newberry, Florida is a small city in Alachua County known for its rural character, agriculture, and proximity to Gainesville in north-central Florida.
  • E. Shalimar, Florida
    Shalimar, Florida is a small town in the Florida Panhandle known for its residential communities and proximity to Eglin Air Force Base along the Emerald Coast.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456209288190aba6debd434af741 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.