Triple

T2477721
Position Surface form Disambiguated ID Type / Status
Subject Loggerhead Key E55126 entity
Predicate hasNearbyIsland P970 FINISHED
Object Hospital Key E55128 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: Hospital Key | Statement: [Loggerhead Key, hasNearbyIsland, Hospital Key]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hospital Key
Context triple: [Loggerhead Key, hasNearbyIsland, Hospital Key]
  • A. Hospital Key chosen
    Hospital Key is a small, uninhabited island within Dry Tortugas National Park in Florida, known for its protected wildlife and remote, pristine marine environment.
  • B. Hamilton General Hospital
    Hamilton General Hospital is a major acute care and teaching hospital in Hamilton, Ontario, known for its specialized cardiac, trauma, and neurosciences services.
  • C. Bayview Medical Center
    Bayview Medical Center is a hospital facility that later became part of the Johns Hopkins Health System and is now known as Johns Hopkins Bayview Medical Center.
  • D. Backus Hospital
    Backus Hospital is a regional acute care medical center serving the community of Norwich and eastern Connecticut.
  • E. UST Hospital
    UST Hospital is a major teaching and training hospital in Manila, Philippines, affiliated with the University of Santo Tomas and known for providing comprehensive medical and healthcare services.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd14ef7d081909159be158bc0ce45 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17aea398819092cb14b93abd0ff7 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.