Triple

T4305125
Position Surface form Disambiguated ID Type / Status
Subject Vera Weizmann E99936 entity
Predicate residence P75 FINISHED
Object Rehovot E110760 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: Rehovot | Statement: [Vera Weizmann, residence, Rehovot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rehovot
Context triple: [Vera Weizmann, residence, Rehovot]
  • A. Rehovot chosen
    Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
  • B. Nahalal
    Nahalal is Israel’s first moshav (cooperative agricultural village), founded in 1921 in the Jezreel Valley and known for its distinctive circular layout.
  • C. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • D. Kiryat Haim
    Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
  • E. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350b8e1cc819094ce3d6f6c8da767 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacc9ef8c81909ff2a16cf68844d0 completed March 20, 2026, 8:23 p.m.
Created at: March 12, 2026, 11:09 p.m.