Triple

T16324615
Position Surface form Disambiguated ID Type / Status
Subject North Central Florida E396380 entity
Predicate hasMajorCity P316 FINISHED
Object Eustis E952715 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: Eustis | Statement: [North Central Florida, hasMajorCity, Eustis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eustis
Context triple: [North Central Florida, hasMajorCity, Eustis]
  • A. Eustis
    Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
  • B. Eustis, Florida chosen
    Eustis, Florida is a small central Florida city known for its historic downtown, access to nearby lakes, and role as part of the Orlando–Kissimmee–Sanford metropolitan area.
  • C. Ocala
    Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
  • D. Dunnellon
    Dunnellon is a small historic city in Marion County, Florida, known for its scenic Rainbow River and outdoor recreation.
  • E. Palatka
    Palatka is a small historic city in Florida known for its location along the St. Johns River and its role as a regional hub in North Central Florida.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b8fe988190adee72b23246052f completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00580d372c81908fcc267cdc3812a7 completed May 10, 2026, 10:03 a.m.
Created at: April 10, 2026, 5:06 a.m.