Triple

T11847268
Position Surface form Disambiguated ID Type / Status
Subject תל השומר E281809 entity
Predicate playsRole P11687 FINISHED
Object מרכז רפואי ארצי מרכזי E853951 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: מרכז רפואי ארצי מרכזי | Statement: [תל השומר, playsRole, מרכז רפואי ארצי מרכזי]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: מרכז רפואי ארצי מרכזי
Context triple: [תל השומר, playsRole, מרכז רפואי ארצי מרכזי]
  • A. National Medical Center chosen
    The National Medical Center is a major healthcare complex that serves as a central hub for advanced medical treatment, research, and specialized clinical services.
  • B. Centro Médico
    Centro Médico is a major Mexico City Metro transfer station and transit hub serving both Line 3 and Line 9 near the National Medical Center.
  • C. International Health Care Center
    The International Health Care Center is a specialized unit of Severance Hospital that provides comprehensive medical services and support tailored to international patients.
  • D. Hospital Central Militar
    Hospital Central Militar is a major Mexican military hospital and medical complex located in Mexico City.
  • E. Mon Health Medical Center
    Mon Health Medical Center is a regional, non-profit acute care hospital and healthcare hub serving Morgantown and the surrounding communities in north-central West Virginia.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65c72088190b8de9550c455b788 completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167a876048190aeeeccebae9e46ad completed April 29, 2026, 2:06 a.m.
Created at: April 8, 2026, 9:43 p.m.