Triple

T18900350
Position Surface form Disambiguated ID Type / Status
Subject Chaim Sheba E462321 entity
Predicate employer P7 FINISHED
Object Tel HaShomer Hospital NE NERFINISHED

How this triple was built (3 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: Tel HaShomer Hospital | Statement: [Chaim Sheba, employer, Tel HaShomer Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tel HaShomer Hospital
Context triple: [Chaim Sheba, employer, Tel HaShomer Hospital]
  • A. HaEmek Medical Center
    HaEmek Medical Center is a major regional hospital in northern Israel that provides comprehensive medical services and serves as a teaching and research institution.
  • B. Meir Medical Center
    Meir Medical Center is a major public hospital in Israel known for providing comprehensive medical services and serving as a teaching and research institution.
  • C. Sourasky Medical Center (Ichilov Hospital)
    Sourasky Medical Center (Ichilov Hospital) is a major academic and research hospital in Tel Aviv, Israel, recognized as one of the country’s leading medical centers.
  • D. Hadassah Ein Kerem Medical Center
    Hadassah Ein Kerem Medical Center is a major university hospital and teaching facility of the Hebrew University in Jerusalem, renowned for its advanced medical services and research.
  • E. Hadassah Mount Scopus Hospital
    Hadassah Mount Scopus Hospital is a major teaching and medical center in Jerusalem, Israel, affiliated with the Hebrew University and known for providing advanced, multidisciplinary healthcare services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tel HaShomer Hospital
Target entity description: Tel HaShomer Hospital, officially the Sheba Medical Center, is Israel’s largest and one of its most advanced medical and research institutions, located near Tel Aviv.
  • A. HaEmek Medical Center
    HaEmek Medical Center is a major regional hospital in northern Israel that provides comprehensive medical services and serves as a teaching and research institution.
  • B. Meir Medical Center
    Meir Medical Center is a major public hospital in Israel known for providing comprehensive medical services and serving as a teaching and research institution.
  • C. Sourasky Medical Center (Ichilov Hospital)
    Sourasky Medical Center (Ichilov Hospital) is a major academic and research hospital in Tel Aviv, Israel, recognized as one of the country’s leading medical centers.
  • D. Hadassah Ein Kerem Medical Center
    Hadassah Ein Kerem Medical Center is a major university hospital and teaching facility of the Hebrew University in Jerusalem, renowned for its advanced medical services and research.
  • E. Hadassah Mount Scopus Hospital
    Hadassah Mount Scopus Hospital is a major teaching and medical center in Jerusalem, Israel, affiliated with the Hebrew University and known for providing advanced, multidisciplinary healthcare services.
  • F. None of above. chosen

Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c5289ba48190a6825c4db2e5e48d completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.