Triple

T5106961
Position Surface form Disambiguated ID Type / Status
Subject Bamboo, Florida E115119 entity
Predicate hasName P744 FINISHED
Object Bamboo, Florida E115119 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: Bamboo, Florida | Statement: [Bamboo, Florida, hasName, Bamboo, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamboo, Florida
Context triple: [Bamboo, Florida, hasName, Bamboo, Florida]
  • A. Bamboo, Florida chosen
    Bamboo, Florida is a small unincorporated community located in Columbia County in northern Florida.
  • B. 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.
  • C. Greenhead, Florida
    Greenhead, Florida is a small unincorporated rural community located in Washington County in the Florida Panhandle.
  • D. DeBary, Florida
    DeBary, Florida is a small city in Volusia County known as a residential community in Central Florida situated along the St. Johns River.
  • E. Baldwin, Florida
    Baldwin, Florida is a small town in northeastern Florida that serves as a rural community within the Jacksonville metropolitan area.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75a8ee7881908876859402911e5a completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba9a19d881909f26b327273a95f1 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:41 p.m.