Triple

T13167533
Position Surface form Disambiguated ID Type / Status
Subject Pinellas Trail E312892 entity
Predicate passesThrough P225 FINISHED
Object Largo, Florida E693521 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: Largo, Florida | Statement: [Pinellas Trail, passesThrough, Largo, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Largo, Florida
Context triple: [Pinellas Trail, passesThrough, Largo, Florida]
  • A. Largo, Florida chosen
    Largo, Florida is a mid-sized city in the Tampa Bay area known for its residential communities, parks, and proximity to Gulf Coast beaches.
  • B. Longwood, Florida
    Longwood, Florida is a suburban city in the Orlando metropolitan area known for its historic district and residential communities.
  • C. Key Largo, Florida
    Key Largo, Florida is a popular island community in the upper Florida Keys known for its coral reefs, diving, and marine tourism.
  • D. Ave Maria, Florida
    Ave Maria, Florida is a master-planned Catholic-oriented town in southwest Florida known for its university and distinctive church-centered community design.
  • E. Aventura, Florida
    Aventura, Florida is a planned suburban city in northeastern Miami-Dade County known for its upscale residential communities and the large Aventura Mall shopping center.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2c317881908cc715c97d915f77 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f13a63c81909335c0a45c3f7eca completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:13 p.m.