Triple

T897301
Position Surface form Disambiguated ID Type / Status
Subject Hills of Jerusalem E19372 entity
Predicate hasPart P35 FINISHED
Object Mount Herzl E15588 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: Mount Herzl | Statement: [Hills of Jerusalem, hasPart, Mount Herzl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Herzl
Context triple: [Hills of Jerusalem, hasPart, Mount Herzl]
  • A. Mount Herzl chosen
    Mount Herzl is Israel’s national cemetery and a central memorial site in Jerusalem, serving as the burial place of prominent leaders and fallen soldiers.
  • B. Tel HaShomer
    Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
  • C. Mount Scopus
    Mount Scopus is a prominent hill in northeastern Jerusalem known for its historic significance, panoramic views, and the campus of the Hebrew University of Jerusalem.
  • D. YadVashem
    Yad Vashem is Israel’s official memorial and research center dedicated to documenting, studying, and commemorating the Holocaust and its victims.
  • E. Keren Hayesod
    Keren Hayesod is a central fundraising organization for Israel and the Jewish people worldwide, supporting immigration, settlement, and social development projects in partnership with major Zionist institutions.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad2550c88190a624eb5627d472ad completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a9339e557c81908d4d44f922994ba0 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:39 p.m.