Triple

T23288322
Position Surface form Disambiguated ID Type / Status
Subject Shaar HaKeniah E589954 entity
Predicate hasTitle P38 FINISHED
Object Shaar HaKeniah NE NERFINISHED

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: Shaar HaKeniah | Statement: [Shaar HaKeniah, hasTitle, Shaar HaKeniah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaar HaKeniah
Context triple: [Shaar HaKeniah, hasTitle, Shaar HaKeniah]
  • A. Shaar HaKeniah chosen
    Shaar HaKeniah is a section of the classic Jewish ethical work Chovot HaLevavot that focuses on the virtue and practice of humility.
  • B. 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.
  • C. Sha'ar HaBarzel
    Sha'ar HaBarzel is the Hebrew name for the Iron Gate, a historic entrance associated with Jerusalem’s Old City.
  • D. Nes Harim
    Nes Harim is a small moshav (rural community) in the Judean Hills of central Israel, known for its scenic landscapes, hiking trails, and proximity to Jerusalem.
  • E. Shosh Yonay
    Shosh Yonay is the widow of Israeli writer Ehud Yonay, known for her involvement in legal actions related to his work that inspired the film "Top Gun."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19649570c8190b565fafa55b1f886 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 5:01 p.m.