Triple

T1512801
Position Surface form Disambiguated ID Type / Status
Subject Menachem Ussishkin E32051 entity
Predicate burialPlace P196 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: [Menachem Ussishkin, burialPlace, Mount Herzl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Herzl
Context triple: [Menachem Ussishkin, burialPlace, 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. Ben-Gurion grave site
    The Ben-Gurion grave site is the desert burial place and national memorial of Israel’s first prime minister, David Ben-Gurion, overlooking the Zin Valley in the Negev.
  • C. Shaar HaTziyun
    Shaar HaTziyun is a detailed commentary and source-reference work by Rabbi Yisrael Meir Kagan that accompanies the Mishnah Berurah on the Shulchan Aruch, Orach Chaim.
  • D. Tel HaShomer
    Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
  • E. 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.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d7cbf48190be40590a7f9fa1de completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294805308190ada3ed69ec71ce43 completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.