Triple

T14530516
Position Surface form Disambiguated ID Type / Status
Subject Pheoby Watson E340899 entity
Predicate setting P1957 FINISHED
Object Eatonville, Florida E59670 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: Eatonville, Florida | Statement: [Pheoby Watson, setting, Eatonville, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eatonville, Florida
Context triple: [Pheoby Watson, setting, Eatonville, Florida]
  • A. Eatonville
    Eatonville is a small town in Washington State known as a gateway community to Mount Rainier National Park.
  • B. Eatonville, Florida, United States chosen
    Eatonville, Florida, United States, is one of the first self-governing all-Black incorporated towns in the U.S. and is famously associated with writer and anthropologist Zora Neale Hurston.
  • C. Hilliard, Florida
    Hilliard, Florida is a small town in northeastern Florida known for its rural character and location near the Georgia state line.
  • D. Niceville, Florida
    Niceville, Florida is a small city in the Florida Panhandle known for its family-friendly community, proximity to Eglin Air Force Base, and access to Choctawhatchee Bay.
  • E. Clewiston, Florida
    Clewiston, Florida is a small city on the southern shore of Lake Okeechobee known for its sugar industry and agricultural economy.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a547c408190a1a19e12aac1d5bd completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.