Triple

T9623677
Position Surface form Disambiguated ID Type / Status
Subject Dhekelia Garrison E232404 entity
Predicate hasMedicalSupport P10262 FINISHED
Object military medical and welfare facilities for personnel 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: military medical and welfare facilities for personnel | Statement: [Dhekelia Garrison, hasMedicalSupport, military medical and welfare facilities for personnel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMedicalSupport
Context triple: [Dhekelia Garrison, hasMedicalSupport, military medical and welfare facilities for personnel]
  • A. hasImmediateMedicalResponse
    Indicates that an entity receives prompt medical attention or intervention immediately following an incident or onset of a medical condition.
  • B. requiresMedicalClearance
    Indicates that one entity must obtain formal approval from a qualified medical authority before engaging in, accessing, or proceeding with the other entity or activity.
  • C. hasHomeSupport
    Indicates that an entity receives assistance, backing, or favorable conditions from its home environment or local supporters.
  • D. hasHealthCode
    Indicates that an entity is associated with a specific health-related classification or status code.
  • E. hasMedicalCenter chosen
    Indicates that an entity possesses, hosts, or is associated with a medical center facility.
  • F. None of above.

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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69ccd5aa1d2c8190a287bf1cf4a3037e completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:10 p.m.