Triple

T1471393
Position Surface form Disambiguated ID Type / Status
Subject Killing of Lee Harvey Oswald E27141 entity
Predicate hasImmediateMedicalResponse P29063 FINISHED
Object transport of Lee Harvey Oswald to Parkland Memorial Hospital LITERAL 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: transport of Lee Harvey Oswald to Parkland Memorial Hospital | Statement: [Killing of Lee Harvey Oswald, hasImmediateMedicalResponse, transport of Lee Harvey Oswald to Parkland Memorial Hospital]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasImmediateMedicalResponse
Context triple: [Killing of Lee Harvey Oswald, hasImmediateMedicalResponse, transport of Lee Harvey Oswald to Parkland Memorial Hospital]
  • A. hasTraumaCenter
    Indicates that an entity (such as a hospital or facility) includes or is equipped with a designated trauma center capable of providing specialized emergency care for severe injuries.
  • B. hasEmergencyServices
    Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
  • C. hasMedicalStaffApprox
    Indicates that an entity is associated with an approximate or estimated number of medical staff.
  • D. emergencyOffice
    Indicates that an office or location serves as an emergency contact point or coordination center for urgent or crisis situations.
  • E. hasMedicalCenter
    Indicates that an entity possesses, hosts, or is associated with a medical center facility.
  • F. None of above. chosen

Provenance (4 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5db55948190ae5262a70a161b87 completed March 1, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69a4c48350d88190a81bd149103f93e3 completed March 1, 2026, 10:58 p.m.
PDg Predicate description generation batch_69a4c52bbb748190aaa804438d31f4c2 completed March 1, 2026, 11 p.m.
Created at: March 1, 2026, 8:01 p.m.