Triple

T1916518
Position Surface form Disambiguated ID Type / Status
Subject Bay County, Florida E40029 entity
Predicate contains P35 FINISHED
Object Parker, Florida E69510 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: Parker, Florida | Statement: [Bay County, Florida, contains, Parker, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parker, Florida
Context triple: [Bay County, Florida, contains, Parker, Florida]
  • A. Parker, Florida chosen
    Parker, Florida is a small coastal city in Bay County near Panama City, known for its residential communities and proximity to St. Andrew Bay.
  • B. Paxton, Florida
    Paxton, Florida is a small town in the Florida Panhandle near the Alabama border, known for its rural character and tight-knit community.
  • C. Pinetta, Florida
    Pinetta, Florida is a small rural community located in northern Florida near the Georgia border, known for its agricultural surroundings and close-knit local population.
  • D. Copeland, Florida
    Copeland, Florida is a small unincorporated community in southwestern Florida, located near the Big Cypress National Preserve and the Everglades.
  • E. Ochopee, Florida
    Ochopee, Florida is a tiny unincorporated community in the Florida Everglades best known for having one of the smallest post offices in the United States.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb20f54848190b9457e1231aa49db completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fce685081909038245bc0c1b4a6 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:35 p.m.