Triple

T9315249
Position Surface form Disambiguated ID Type / Status
Subject Polk County, Florida E224101 entity
Predicate hasCity P316 FINISHED
Object Polk City, Florida E556628 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: Polk City, Florida | Statement: [Polk County, Florida, hasCity, Polk City, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polk City, Florida
Context triple: [Polk County, Florida, hasCity, Polk City, Florida]
  • A. Polk City, Florida chosen
    Polk City, Florida is a small town in Polk County known for its rural character and proximity to the larger Lakeland–Winter Haven urban area.
  • B. Polk City
    Polk City is a small community in central Iowa known for its proximity to Saylorville Lake and Big Creek State Park.
  • C. Kissimmee, Florida
    Kissimmee, Florida is a central Florida city in Osceola County known for its proximity to major Orlando-area theme parks and tourist attractions.
  • D. Davenport, Florida
    Davenport, Florida is a small but rapidly growing city in Central Florida known for its proximity to major Orlando-area theme parks and resort communities.
  • E. Lakeland, Florida
    Lakeland, Florida is a mid-sized city in central Florida known for its numerous lakes, historic downtown, and long-standing ties to Major League Baseball.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358846e48190a8aacfab19d88ae7 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7acba54819086da668f234321de completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.